Add LoRA adapter
Browse filesThis view is limited to 50 files because it contains too many changes.
See raw diff
- .gitattributes +4 -0
- README.md +62 -0
- adapter_config.json +42 -0
- adapter_model.safetensors +3 -0
- added_tokens.json +3 -0
- chat_template.jinja +47 -0
- checkpoint-12/README.md +209 -0
- checkpoint-12/adapter_config.json +42 -0
- checkpoint-12/adapter_model.safetensors +3 -0
- checkpoint-12/added_tokens.json +3 -0
- checkpoint-12/chat_template.jinja +47 -0
- checkpoint-12/optimizer.pt +3 -0
- checkpoint-12/rng_state.pth +3 -0
- checkpoint-12/scheduler.pt +3 -0
- checkpoint-12/special_tokens_map.json +33 -0
- checkpoint-12/tokenizer.json +3 -0
- checkpoint-12/tokenizer.model +3 -0
- checkpoint-12/tokenizer_config.json +0 -0
- checkpoint-12/trainer_state.json +52 -0
- checkpoint-12/training_args.bin +3 -0
- checkpoint-15/README.md +209 -0
- checkpoint-15/adapter_config.json +42 -0
- checkpoint-15/adapter_model.safetensors +3 -0
- checkpoint-15/added_tokens.json +3 -0
- checkpoint-15/chat_template.jinja +47 -0
- checkpoint-15/optimizer.pt +3 -0
- checkpoint-15/rng_state.pth +3 -0
- checkpoint-15/scheduler.pt +3 -0
- checkpoint-15/special_tokens_map.json +33 -0
- checkpoint-15/tokenizer.json +3 -0
- checkpoint-15/tokenizer.model +3 -0
- checkpoint-15/tokenizer_config.json +0 -0
- checkpoint-15/trainer_state.json +61 -0
- checkpoint-15/training_args.bin +3 -0
- checkpoint-24/README.md +209 -0
- checkpoint-24/adapter_config.json +42 -0
- checkpoint-24/adapter_model.safetensors +3 -0
- checkpoint-24/added_tokens.json +3 -0
- checkpoint-24/chat_template.jinja +47 -0
- checkpoint-24/optimizer.pt +3 -0
- checkpoint-24/rng_state.pth +3 -0
- checkpoint-24/scheduler.pt +3 -0
- checkpoint-24/special_tokens_map.json +33 -0
- checkpoint-24/tokenizer.json +3 -0
- checkpoint-24/tokenizer.model +3 -0
- checkpoint-24/tokenizer_config.json +0 -0
- checkpoint-24/trainer_state.json +70 -0
- checkpoint-24/training_args.bin +3 -0
- runs/Aug27_22-53-45_ba94a6062344/events.out.tfevents.1756335231.ba94a6062344.4364.0 +3 -0
- special_tokens_map.json +33 -0
.gitattributes
CHANGED
@@ -33,3 +33,7 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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checkpoint-12/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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checkpoint-15/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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checkpoint-24/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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base_model: google/gemma-3-270m-it
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library_name: peft
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model_name: gemma3-270m-it-gradio-lora
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tags:
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- base_model:adapter:google/gemma-3-270m-it
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- lora
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- sft
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- transformers
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- trl
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licence: license
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pipeline_tag: text-generation
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---
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# Model Card for gemma3-270m-it-gradio-lora
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This model is a fine-tuned version of [google/gemma-3-270m-it](https://huggingface.co/google/gemma-3-270m-it).
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It has been trained using [TRL](https://github.com/huggingface/trl).
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## Quick start
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```python
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from transformers import pipeline
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question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
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generator = pipeline("text-generation", model="None", device="cuda")
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output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
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print(output["generated_text"])
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```
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## Training procedure
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This model was trained with SFT.
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### Framework versions
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- PEFT 0.17.1
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- TRL: 0.21.0
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- Transformers: 4.55.4
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- Pytorch: 2.8.0+cu126
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- Datasets: 4.0.0
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- Tokenizers: 0.21.4
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## Citations
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Cite TRL as:
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```bibtex
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@misc{vonwerra2022trl,
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title = {{TRL: Transformer Reinforcement Learning}},
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author = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallou{\'e}dec},
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year = 2020,
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journal = {GitHub repository},
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publisher = {GitHub},
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howpublished = {\url{https://github.com/huggingface/trl}}
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}
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```
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adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "google/gemma-3-270m-it",
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"bias": "none",
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"corda_config": null,
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"eva_config": null,
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"exclude_modules": null,
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layer_replication": null,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 64,
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"lora_bias": false,
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"lora_dropout": 0.1,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"qalora_group_size": 16,
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"r": 32,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"o_proj",
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"up_proj",
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"q_proj",
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"gate_proj",
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"down_proj",
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"v_proj",
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"k_proj"
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],
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"target_parameters": null,
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"task_type": "CAUSAL_LM",
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"trainable_token_indices": null,
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"use_dora": false,
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"use_qalora": false,
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"use_rslora": false
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}
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:e18ca4f972837e144f352d6314ef40f341dfdd6c5fc1055778f9b588686da49e
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size 30409120
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added_tokens.json
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{
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"<image_soft_token>": 262144
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}
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chat_template.jinja
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{{ bos_token }}
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{%- if messages[0]['role'] == 'system' -%}
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{%- if messages[0]['content'] is string -%}
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{%- set first_user_prefix = messages[0]['content'] + '
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' -%}
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{%- else -%}
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{%- set first_user_prefix = messages[0]['content'][0]['text'] + '
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' -%}
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{%- endif -%}
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{%- set loop_messages = messages[1:] -%}
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{%- else -%}
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{%- set first_user_prefix = "" -%}
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{%- set loop_messages = messages -%}
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{%- endif -%}
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{%- for message in loop_messages -%}
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{%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) -%}
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{{ raise_exception("Conversation roles must alternate user/assistant/user/assistant/...") }}
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{%- endif -%}
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{%- if (message['role'] == 'assistant') -%}
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{%- set role = "model" -%}
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{%- else -%}
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{%- set role = message['role'] -%}
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{%- endif -%}
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{{ '<start_of_turn>' + role + '
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' + (first_user_prefix if loop.first else "") }}
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{%- if message['content'] is string -%}
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{{ message['content'] | trim }}
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{%- elif message['content'] is iterable -%}
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{%- for item in message['content'] -%}
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{%- if item['type'] == 'image' -%}
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{{ '<start_of_image>' }}
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{%- elif item['type'] == 'text' -%}
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{{ item['text'] | trim }}
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{%- endif -%}
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{%- endfor -%}
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{%- else -%}
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{{ raise_exception("Invalid content type") }}
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{%- endif -%}
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{{ '<end_of_turn>
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' }}
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{%- endfor -%}
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{%- if add_generation_prompt -%}
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{{'<start_of_turn>model
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'}}
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{%- endif -%}
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checkpoint-12/README.md
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---
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base_model: google/gemma-3-270m-it
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library_name: peft
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pipeline_tag: text-generation
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tags:
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- base_model:adapter:google/gemma-3-270m-it
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- lora
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- sft
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- transformers
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- trl
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---
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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## Model Details
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### Model Description
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<!-- Provide a longer summary of what this model is. -->
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- **Developed by:** [More Information Needed]
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- **Funded by [optional]:** [More Information Needed]
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- **Shared by [optional]:** [More Information Needed]
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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- **Repository:** [More Information Needed]
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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## Uses
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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### Direct Use
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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[More Information Needed]
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### Downstream Use [optional]
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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[More Information Needed]
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### Out-of-Scope Use
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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[More Information Needed]
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## Bias, Risks, and Limitations
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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[More Information Needed]
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### Recommendations
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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## How to Get Started with the Model
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Use the code below to get started with the model.
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[More Information Needed]
|
82 |
+
|
83 |
+
## Training Details
|
84 |
+
|
85 |
+
### Training Data
|
86 |
+
|
87 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
88 |
+
|
89 |
+
[More Information Needed]
|
90 |
+
|
91 |
+
### Training Procedure
|
92 |
+
|
93 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
94 |
+
|
95 |
+
#### Preprocessing [optional]
|
96 |
+
|
97 |
+
[More Information Needed]
|
98 |
+
|
99 |
+
|
100 |
+
#### Training Hyperparameters
|
101 |
+
|
102 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
103 |
+
|
104 |
+
#### Speeds, Sizes, Times [optional]
|
105 |
+
|
106 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
107 |
+
|
108 |
+
[More Information Needed]
|
109 |
+
|
110 |
+
## Evaluation
|
111 |
+
|
112 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
113 |
+
|
114 |
+
### Testing Data, Factors & Metrics
|
115 |
+
|
116 |
+
#### Testing Data
|
117 |
+
|
118 |
+
<!-- This should link to a Dataset Card if possible. -->
|
119 |
+
|
120 |
+
[More Information Needed]
|
121 |
+
|
122 |
+
#### Factors
|
123 |
+
|
124 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
125 |
+
|
126 |
+
[More Information Needed]
|
127 |
+
|
128 |
+
#### Metrics
|
129 |
+
|
130 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
131 |
+
|
132 |
+
[More Information Needed]
|
133 |
+
|
134 |
+
### Results
|
135 |
+
|
136 |
+
[More Information Needed]
|
137 |
+
|
138 |
+
#### Summary
|
139 |
+
|
140 |
+
|
141 |
+
|
142 |
+
## Model Examination [optional]
|
143 |
+
|
144 |
+
<!-- Relevant interpretability work for the model goes here -->
|
145 |
+
|
146 |
+
[More Information Needed]
|
147 |
+
|
148 |
+
## Environmental Impact
|
149 |
+
|
150 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
151 |
+
|
152 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
153 |
+
|
154 |
+
- **Hardware Type:** [More Information Needed]
|
155 |
+
- **Hours used:** [More Information Needed]
|
156 |
+
- **Cloud Provider:** [More Information Needed]
|
157 |
+
- **Compute Region:** [More Information Needed]
|
158 |
+
- **Carbon Emitted:** [More Information Needed]
|
159 |
+
|
160 |
+
## Technical Specifications [optional]
|
161 |
+
|
162 |
+
### Model Architecture and Objective
|
163 |
+
|
164 |
+
[More Information Needed]
|
165 |
+
|
166 |
+
### Compute Infrastructure
|
167 |
+
|
168 |
+
[More Information Needed]
|
169 |
+
|
170 |
+
#### Hardware
|
171 |
+
|
172 |
+
[More Information Needed]
|
173 |
+
|
174 |
+
#### Software
|
175 |
+
|
176 |
+
[More Information Needed]
|
177 |
+
|
178 |
+
## Citation [optional]
|
179 |
+
|
180 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
181 |
+
|
182 |
+
**BibTeX:**
|
183 |
+
|
184 |
+
[More Information Needed]
|
185 |
+
|
186 |
+
**APA:**
|
187 |
+
|
188 |
+
[More Information Needed]
|
189 |
+
|
190 |
+
## Glossary [optional]
|
191 |
+
|
192 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
193 |
+
|
194 |
+
[More Information Needed]
|
195 |
+
|
196 |
+
## More Information [optional]
|
197 |
+
|
198 |
+
[More Information Needed]
|
199 |
+
|
200 |
+
## Model Card Authors [optional]
|
201 |
+
|
202 |
+
[More Information Needed]
|
203 |
+
|
204 |
+
## Model Card Contact
|
205 |
+
|
206 |
+
[More Information Needed]
|
207 |
+
### Framework versions
|
208 |
+
|
209 |
+
- PEFT 0.17.1
|
checkpoint-12/adapter_config.json
ADDED
@@ -0,0 +1,42 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
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|
|
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|
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|
|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": null,
|
4 |
+
"base_model_name_or_path": "google/gemma-3-270m-it",
|
5 |
+
"bias": "none",
|
6 |
+
"corda_config": null,
|
7 |
+
"eva_config": null,
|
8 |
+
"exclude_modules": null,
|
9 |
+
"fan_in_fan_out": false,
|
10 |
+
"inference_mode": true,
|
11 |
+
"init_lora_weights": true,
|
12 |
+
"layer_replication": null,
|
13 |
+
"layers_pattern": null,
|
14 |
+
"layers_to_transform": null,
|
15 |
+
"loftq_config": {},
|
16 |
+
"lora_alpha": 64,
|
17 |
+
"lora_bias": false,
|
18 |
+
"lora_dropout": 0.1,
|
19 |
+
"megatron_config": null,
|
20 |
+
"megatron_core": "megatron.core",
|
21 |
+
"modules_to_save": null,
|
22 |
+
"peft_type": "LORA",
|
23 |
+
"qalora_group_size": 16,
|
24 |
+
"r": 32,
|
25 |
+
"rank_pattern": {},
|
26 |
+
"revision": null,
|
27 |
+
"target_modules": [
|
28 |
+
"o_proj",
|
29 |
+
"up_proj",
|
30 |
+
"q_proj",
|
31 |
+
"gate_proj",
|
32 |
+
"down_proj",
|
33 |
+
"v_proj",
|
34 |
+
"k_proj"
|
35 |
+
],
|
36 |
+
"target_parameters": null,
|
37 |
+
"task_type": "CAUSAL_LM",
|
38 |
+
"trainable_token_indices": null,
|
39 |
+
"use_dora": false,
|
40 |
+
"use_qalora": false,
|
41 |
+
"use_rslora": false
|
42 |
+
}
|
checkpoint-12/adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ae6c6d0fd26d463002e4aa7e1aecc639b04928af2309c324b9c901d8d0842c14
|
3 |
+
size 30409120
|
checkpoint-12/added_tokens.json
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"<image_soft_token>": 262144
|
3 |
+
}
|
checkpoint-12/chat_template.jinja
ADDED
@@ -0,0 +1,47 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{{ bos_token }}
|
2 |
+
{%- if messages[0]['role'] == 'system' -%}
|
3 |
+
{%- if messages[0]['content'] is string -%}
|
4 |
+
{%- set first_user_prefix = messages[0]['content'] + '
|
5 |
+
|
6 |
+
' -%}
|
7 |
+
{%- else -%}
|
8 |
+
{%- set first_user_prefix = messages[0]['content'][0]['text'] + '
|
9 |
+
|
10 |
+
' -%}
|
11 |
+
{%- endif -%}
|
12 |
+
{%- set loop_messages = messages[1:] -%}
|
13 |
+
{%- else -%}
|
14 |
+
{%- set first_user_prefix = "" -%}
|
15 |
+
{%- set loop_messages = messages -%}
|
16 |
+
{%- endif -%}
|
17 |
+
{%- for message in loop_messages -%}
|
18 |
+
{%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) -%}
|
19 |
+
{{ raise_exception("Conversation roles must alternate user/assistant/user/assistant/...") }}
|
20 |
+
{%- endif -%}
|
21 |
+
{%- if (message['role'] == 'assistant') -%}
|
22 |
+
{%- set role = "model" -%}
|
23 |
+
{%- else -%}
|
24 |
+
{%- set role = message['role'] -%}
|
25 |
+
{%- endif -%}
|
26 |
+
{{ '<start_of_turn>' + role + '
|
27 |
+
' + (first_user_prefix if loop.first else "") }}
|
28 |
+
{%- if message['content'] is string -%}
|
29 |
+
{{ message['content'] | trim }}
|
30 |
+
{%- elif message['content'] is iterable -%}
|
31 |
+
{%- for item in message['content'] -%}
|
32 |
+
{%- if item['type'] == 'image' -%}
|
33 |
+
{{ '<start_of_image>' }}
|
34 |
+
{%- elif item['type'] == 'text' -%}
|
35 |
+
{{ item['text'] | trim }}
|
36 |
+
{%- endif -%}
|
37 |
+
{%- endfor -%}
|
38 |
+
{%- else -%}
|
39 |
+
{{ raise_exception("Invalid content type") }}
|
40 |
+
{%- endif -%}
|
41 |
+
{{ '<end_of_turn>
|
42 |
+
' }}
|
43 |
+
{%- endfor -%}
|
44 |
+
{%- if add_generation_prompt -%}
|
45 |
+
{{'<start_of_turn>model
|
46 |
+
'}}
|
47 |
+
{%- endif -%}
|
checkpoint-12/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ff4f9122efe78fc3ab66dc3ba46a26755ccdcfa47f832a5d3539d08c728d25ed
|
3 |
+
size 60963979
|
checkpoint-12/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:4564af4b00157f062334f0ea2e5fde530aca968ffac241d66a333094f6115f64
|
3 |
+
size 14645
|
checkpoint-12/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:901ad8993ec1bd1e1765eb7d1d7ab496dba1e337f77c70adb6f86fa8ad9f2a04
|
3 |
+
size 1465
|
checkpoint-12/special_tokens_map.json
ADDED
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"boi_token": "<start_of_image>",
|
3 |
+
"bos_token": {
|
4 |
+
"content": "<bos>",
|
5 |
+
"lstrip": false,
|
6 |
+
"normalized": false,
|
7 |
+
"rstrip": false,
|
8 |
+
"single_word": false
|
9 |
+
},
|
10 |
+
"eoi_token": "<end_of_image>",
|
11 |
+
"eos_token": {
|
12 |
+
"content": "<eos>",
|
13 |
+
"lstrip": false,
|
14 |
+
"normalized": false,
|
15 |
+
"rstrip": false,
|
16 |
+
"single_word": false
|
17 |
+
},
|
18 |
+
"image_token": "<image_soft_token>",
|
19 |
+
"pad_token": {
|
20 |
+
"content": "<pad>",
|
21 |
+
"lstrip": false,
|
22 |
+
"normalized": false,
|
23 |
+
"rstrip": false,
|
24 |
+
"single_word": false
|
25 |
+
},
|
26 |
+
"unk_token": {
|
27 |
+
"content": "<unk>",
|
28 |
+
"lstrip": false,
|
29 |
+
"normalized": false,
|
30 |
+
"rstrip": false,
|
31 |
+
"single_word": false
|
32 |
+
}
|
33 |
+
}
|
checkpoint-12/tokenizer.json
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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2 |
+
oid sha256:4667f2089529e8e7657cfb6d1c19910ae71ff5f28aa7ab2ff2763330affad795
|
3 |
+
size 33384568
|
checkpoint-12/tokenizer.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1299c11d7cf632ef3b4e11937501358ada021bbdf7c47638d13c0ee982f2e79c
|
3 |
+
size 4689074
|
checkpoint-12/tokenizer_config.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-12/trainer_state.json
ADDED
@@ -0,0 +1,52 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_global_step": null,
|
3 |
+
"best_metric": null,
|
4 |
+
"best_model_checkpoint": null,
|
5 |
+
"epoch": 3.0,
|
6 |
+
"eval_steps": 500,
|
7 |
+
"global_step": 12,
|
8 |
+
"is_hyper_param_search": false,
|
9 |
+
"is_local_process_zero": true,
|
10 |
+
"is_world_process_zero": true,
|
11 |
+
"log_history": [
|
12 |
+
{
|
13 |
+
"epoch": 1.3137254901960784,
|
14 |
+
"grad_norm": 3.9166722297668457,
|
15 |
+
"learning_rate": 9.045084971874738e-05,
|
16 |
+
"loss": 1.9246,
|
17 |
+
"mean_token_accuracy": 0.6517356580762721,
|
18 |
+
"num_tokens": 20094.0,
|
19 |
+
"step": 5
|
20 |
+
},
|
21 |
+
{
|
22 |
+
"epoch": 2.627450980392157,
|
23 |
+
"grad_norm": 2.1242902278900146,
|
24 |
+
"learning_rate": 2.061073738537635e-05,
|
25 |
+
"loss": 1.499,
|
26 |
+
"mean_token_accuracy": 0.6964283122945187,
|
27 |
+
"num_tokens": 39637.0,
|
28 |
+
"step": 10
|
29 |
+
}
|
30 |
+
],
|
31 |
+
"logging_steps": 5,
|
32 |
+
"max_steps": 12,
|
33 |
+
"num_input_tokens_seen": 0,
|
34 |
+
"num_train_epochs": 3,
|
35 |
+
"save_steps": 100,
|
36 |
+
"stateful_callbacks": {
|
37 |
+
"TrainerControl": {
|
38 |
+
"args": {
|
39 |
+
"should_epoch_stop": false,
|
40 |
+
"should_evaluate": false,
|
41 |
+
"should_log": false,
|
42 |
+
"should_save": true,
|
43 |
+
"should_training_stop": true
|
44 |
+
},
|
45 |
+
"attributes": {}
|
46 |
+
}
|
47 |
+
},
|
48 |
+
"total_flos": 29043214560000.0,
|
49 |
+
"train_batch_size": 1,
|
50 |
+
"trial_name": null,
|
51 |
+
"trial_params": null
|
52 |
+
}
|
checkpoint-12/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:fbafa6bc95e32b8ac2f676442a7f373e13aa62bd3ff002a9a44e35f7b1558a07
|
3 |
+
size 6161
|
checkpoint-15/README.md
ADDED
@@ -0,0 +1,209 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
1 |
+
---
|
2 |
+
base_model: google/gemma-3-270m-it
|
3 |
+
library_name: peft
|
4 |
+
pipeline_tag: text-generation
|
5 |
+
tags:
|
6 |
+
- base_model:adapter:google/gemma-3-270m-it
|
7 |
+
- lora
|
8 |
+
- sft
|
9 |
+
- transformers
|
10 |
+
- trl
|
11 |
+
---
|
12 |
+
|
13 |
+
# Model Card for Model ID
|
14 |
+
|
15 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
16 |
+
|
17 |
+
|
18 |
+
|
19 |
+
## Model Details
|
20 |
+
|
21 |
+
### Model Description
|
22 |
+
|
23 |
+
<!-- Provide a longer summary of what this model is. -->
|
24 |
+
|
25 |
+
|
26 |
+
|
27 |
+
- **Developed by:** [More Information Needed]
|
28 |
+
- **Funded by [optional]:** [More Information Needed]
|
29 |
+
- **Shared by [optional]:** [More Information Needed]
|
30 |
+
- **Model type:** [More Information Needed]
|
31 |
+
- **Language(s) (NLP):** [More Information Needed]
|
32 |
+
- **License:** [More Information Needed]
|
33 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
34 |
+
|
35 |
+
### Model Sources [optional]
|
36 |
+
|
37 |
+
<!-- Provide the basic links for the model. -->
|
38 |
+
|
39 |
+
- **Repository:** [More Information Needed]
|
40 |
+
- **Paper [optional]:** [More Information Needed]
|
41 |
+
- **Demo [optional]:** [More Information Needed]
|
42 |
+
|
43 |
+
## Uses
|
44 |
+
|
45 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
46 |
+
|
47 |
+
### Direct Use
|
48 |
+
|
49 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
50 |
+
|
51 |
+
[More Information Needed]
|
52 |
+
|
53 |
+
### Downstream Use [optional]
|
54 |
+
|
55 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
56 |
+
|
57 |
+
[More Information Needed]
|
58 |
+
|
59 |
+
### Out-of-Scope Use
|
60 |
+
|
61 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
62 |
+
|
63 |
+
[More Information Needed]
|
64 |
+
|
65 |
+
## Bias, Risks, and Limitations
|
66 |
+
|
67 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
68 |
+
|
69 |
+
[More Information Needed]
|
70 |
+
|
71 |
+
### Recommendations
|
72 |
+
|
73 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
74 |
+
|
75 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
76 |
+
|
77 |
+
## How to Get Started with the Model
|
78 |
+
|
79 |
+
Use the code below to get started with the model.
|
80 |
+
|
81 |
+
[More Information Needed]
|
82 |
+
|
83 |
+
## Training Details
|
84 |
+
|
85 |
+
### Training Data
|
86 |
+
|
87 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
88 |
+
|
89 |
+
[More Information Needed]
|
90 |
+
|
91 |
+
### Training Procedure
|
92 |
+
|
93 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
94 |
+
|
95 |
+
#### Preprocessing [optional]
|
96 |
+
|
97 |
+
[More Information Needed]
|
98 |
+
|
99 |
+
|
100 |
+
#### Training Hyperparameters
|
101 |
+
|
102 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
103 |
+
|
104 |
+
#### Speeds, Sizes, Times [optional]
|
105 |
+
|
106 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
107 |
+
|
108 |
+
[More Information Needed]
|
109 |
+
|
110 |
+
## Evaluation
|
111 |
+
|
112 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
113 |
+
|
114 |
+
### Testing Data, Factors & Metrics
|
115 |
+
|
116 |
+
#### Testing Data
|
117 |
+
|
118 |
+
<!-- This should link to a Dataset Card if possible. -->
|
119 |
+
|
120 |
+
[More Information Needed]
|
121 |
+
|
122 |
+
#### Factors
|
123 |
+
|
124 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
125 |
+
|
126 |
+
[More Information Needed]
|
127 |
+
|
128 |
+
#### Metrics
|
129 |
+
|
130 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
131 |
+
|
132 |
+
[More Information Needed]
|
133 |
+
|
134 |
+
### Results
|
135 |
+
|
136 |
+
[More Information Needed]
|
137 |
+
|
138 |
+
#### Summary
|
139 |
+
|
140 |
+
|
141 |
+
|
142 |
+
## Model Examination [optional]
|
143 |
+
|
144 |
+
<!-- Relevant interpretability work for the model goes here -->
|
145 |
+
|
146 |
+
[More Information Needed]
|
147 |
+
|
148 |
+
## Environmental Impact
|
149 |
+
|
150 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
151 |
+
|
152 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
153 |
+
|
154 |
+
- **Hardware Type:** [More Information Needed]
|
155 |
+
- **Hours used:** [More Information Needed]
|
156 |
+
- **Cloud Provider:** [More Information Needed]
|
157 |
+
- **Compute Region:** [More Information Needed]
|
158 |
+
- **Carbon Emitted:** [More Information Needed]
|
159 |
+
|
160 |
+
## Technical Specifications [optional]
|
161 |
+
|
162 |
+
### Model Architecture and Objective
|
163 |
+
|
164 |
+
[More Information Needed]
|
165 |
+
|
166 |
+
### Compute Infrastructure
|
167 |
+
|
168 |
+
[More Information Needed]
|
169 |
+
|
170 |
+
#### Hardware
|
171 |
+
|
172 |
+
[More Information Needed]
|
173 |
+
|
174 |
+
#### Software
|
175 |
+
|
176 |
+
[More Information Needed]
|
177 |
+
|
178 |
+
## Citation [optional]
|
179 |
+
|
180 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
181 |
+
|
182 |
+
**BibTeX:**
|
183 |
+
|
184 |
+
[More Information Needed]
|
185 |
+
|
186 |
+
**APA:**
|
187 |
+
|
188 |
+
[More Information Needed]
|
189 |
+
|
190 |
+
## Glossary [optional]
|
191 |
+
|
192 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
193 |
+
|
194 |
+
[More Information Needed]
|
195 |
+
|
196 |
+
## More Information [optional]
|
197 |
+
|
198 |
+
[More Information Needed]
|
199 |
+
|
200 |
+
## Model Card Authors [optional]
|
201 |
+
|
202 |
+
[More Information Needed]
|
203 |
+
|
204 |
+
## Model Card Contact
|
205 |
+
|
206 |
+
[More Information Needed]
|
207 |
+
### Framework versions
|
208 |
+
|
209 |
+
- PEFT 0.17.1
|
checkpoint-15/adapter_config.json
ADDED
@@ -0,0 +1,42 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": null,
|
4 |
+
"base_model_name_or_path": "google/gemma-3-270m-it",
|
5 |
+
"bias": "none",
|
6 |
+
"corda_config": null,
|
7 |
+
"eva_config": null,
|
8 |
+
"exclude_modules": null,
|
9 |
+
"fan_in_fan_out": false,
|
10 |
+
"inference_mode": true,
|
11 |
+
"init_lora_weights": true,
|
12 |
+
"layer_replication": null,
|
13 |
+
"layers_pattern": null,
|
14 |
+
"layers_to_transform": null,
|
15 |
+
"loftq_config": {},
|
16 |
+
"lora_alpha": 64,
|
17 |
+
"lora_bias": false,
|
18 |
+
"lora_dropout": 0.1,
|
19 |
+
"megatron_config": null,
|
20 |
+
"megatron_core": "megatron.core",
|
21 |
+
"modules_to_save": null,
|
22 |
+
"peft_type": "LORA",
|
23 |
+
"qalora_group_size": 16,
|
24 |
+
"r": 32,
|
25 |
+
"rank_pattern": {},
|
26 |
+
"revision": null,
|
27 |
+
"target_modules": [
|
28 |
+
"o_proj",
|
29 |
+
"up_proj",
|
30 |
+
"q_proj",
|
31 |
+
"gate_proj",
|
32 |
+
"down_proj",
|
33 |
+
"v_proj",
|
34 |
+
"k_proj"
|
35 |
+
],
|
36 |
+
"target_parameters": null,
|
37 |
+
"task_type": "CAUSAL_LM",
|
38 |
+
"trainable_token_indices": null,
|
39 |
+
"use_dora": false,
|
40 |
+
"use_qalora": false,
|
41 |
+
"use_rslora": false
|
42 |
+
}
|
checkpoint-15/adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c399ed7a22d0314b6138380b205aa770030c1bf7b9e2dde48ffd99c8787c2144
|
3 |
+
size 30409120
|
checkpoint-15/added_tokens.json
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"<image_soft_token>": 262144
|
3 |
+
}
|
checkpoint-15/chat_template.jinja
ADDED
@@ -0,0 +1,47 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{{ bos_token }}
|
2 |
+
{%- if messages[0]['role'] == 'system' -%}
|
3 |
+
{%- if messages[0]['content'] is string -%}
|
4 |
+
{%- set first_user_prefix = messages[0]['content'] + '
|
5 |
+
|
6 |
+
' -%}
|
7 |
+
{%- else -%}
|
8 |
+
{%- set first_user_prefix = messages[0]['content'][0]['text'] + '
|
9 |
+
|
10 |
+
' -%}
|
11 |
+
{%- endif -%}
|
12 |
+
{%- set loop_messages = messages[1:] -%}
|
13 |
+
{%- else -%}
|
14 |
+
{%- set first_user_prefix = "" -%}
|
15 |
+
{%- set loop_messages = messages -%}
|
16 |
+
{%- endif -%}
|
17 |
+
{%- for message in loop_messages -%}
|
18 |
+
{%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) -%}
|
19 |
+
{{ raise_exception("Conversation roles must alternate user/assistant/user/assistant/...") }}
|
20 |
+
{%- endif -%}
|
21 |
+
{%- if (message['role'] == 'assistant') -%}
|
22 |
+
{%- set role = "model" -%}
|
23 |
+
{%- else -%}
|
24 |
+
{%- set role = message['role'] -%}
|
25 |
+
{%- endif -%}
|
26 |
+
{{ '<start_of_turn>' + role + '
|
27 |
+
' + (first_user_prefix if loop.first else "") }}
|
28 |
+
{%- if message['content'] is string -%}
|
29 |
+
{{ message['content'] | trim }}
|
30 |
+
{%- elif message['content'] is iterable -%}
|
31 |
+
{%- for item in message['content'] -%}
|
32 |
+
{%- if item['type'] == 'image' -%}
|
33 |
+
{{ '<start_of_image>' }}
|
34 |
+
{%- elif item['type'] == 'text' -%}
|
35 |
+
{{ item['text'] | trim }}
|
36 |
+
{%- endif -%}
|
37 |
+
{%- endfor -%}
|
38 |
+
{%- else -%}
|
39 |
+
{{ raise_exception("Invalid content type") }}
|
40 |
+
{%- endif -%}
|
41 |
+
{{ '<end_of_turn>
|
42 |
+
' }}
|
43 |
+
{%- endfor -%}
|
44 |
+
{%- if add_generation_prompt -%}
|
45 |
+
{{'<start_of_turn>model
|
46 |
+
'}}
|
47 |
+
{%- endif -%}
|
checkpoint-15/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:3bce0d3b77ed51ae7030bc6dcb745b0bbce0cf2b1fdf1a6b1f38662c219d300a
|
3 |
+
size 60963979
|
checkpoint-15/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:27d8911f9a9c28111f51b89f77b098719bd88ba8c7ae06de0622c43af33097a8
|
3 |
+
size 14645
|
checkpoint-15/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:2307a9693e86a51474876468dbee8772ad888b23acb59a9923a02fd7a88179e4
|
3 |
+
size 1465
|
checkpoint-15/special_tokens_map.json
ADDED
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"boi_token": "<start_of_image>",
|
3 |
+
"bos_token": {
|
4 |
+
"content": "<bos>",
|
5 |
+
"lstrip": false,
|
6 |
+
"normalized": false,
|
7 |
+
"rstrip": false,
|
8 |
+
"single_word": false
|
9 |
+
},
|
10 |
+
"eoi_token": "<end_of_image>",
|
11 |
+
"eos_token": {
|
12 |
+
"content": "<eos>",
|
13 |
+
"lstrip": false,
|
14 |
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"normalized": false,
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checkpoint-24/README.md
ADDED
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|
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|
|
|
|
|
1 |
+
---
|
2 |
+
base_model: google/gemma-3-270m-it
|
3 |
+
library_name: peft
|
4 |
+
pipeline_tag: text-generation
|
5 |
+
tags:
|
6 |
+
- base_model:adapter:google/gemma-3-270m-it
|
7 |
+
- lora
|
8 |
+
- sft
|
9 |
+
- transformers
|
10 |
+
- trl
|
11 |
+
---
|
12 |
+
|
13 |
+
# Model Card for Model ID
|
14 |
+
|
15 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
16 |
+
|
17 |
+
|
18 |
+
|
19 |
+
## Model Details
|
20 |
+
|
21 |
+
### Model Description
|
22 |
+
|
23 |
+
<!-- Provide a longer summary of what this model is. -->
|
24 |
+
|
25 |
+
|
26 |
+
|
27 |
+
- **Developed by:** [More Information Needed]
|
28 |
+
- **Funded by [optional]:** [More Information Needed]
|
29 |
+
- **Shared by [optional]:** [More Information Needed]
|
30 |
+
- **Model type:** [More Information Needed]
|
31 |
+
- **Language(s) (NLP):** [More Information Needed]
|
32 |
+
- **License:** [More Information Needed]
|
33 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
34 |
+
|
35 |
+
### Model Sources [optional]
|
36 |
+
|
37 |
+
<!-- Provide the basic links for the model. -->
|
38 |
+
|
39 |
+
- **Repository:** [More Information Needed]
|
40 |
+
- **Paper [optional]:** [More Information Needed]
|
41 |
+
- **Demo [optional]:** [More Information Needed]
|
42 |
+
|
43 |
+
## Uses
|
44 |
+
|
45 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
46 |
+
|
47 |
+
### Direct Use
|
48 |
+
|
49 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
50 |
+
|
51 |
+
[More Information Needed]
|
52 |
+
|
53 |
+
### Downstream Use [optional]
|
54 |
+
|
55 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
56 |
+
|
57 |
+
[More Information Needed]
|
58 |
+
|
59 |
+
### Out-of-Scope Use
|
60 |
+
|
61 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
62 |
+
|
63 |
+
[More Information Needed]
|
64 |
+
|
65 |
+
## Bias, Risks, and Limitations
|
66 |
+
|
67 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
68 |
+
|
69 |
+
[More Information Needed]
|
70 |
+
|
71 |
+
### Recommendations
|
72 |
+
|
73 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
74 |
+
|
75 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
76 |
+
|
77 |
+
## How to Get Started with the Model
|
78 |
+
|
79 |
+
Use the code below to get started with the model.
|
80 |
+
|
81 |
+
[More Information Needed]
|
82 |
+
|
83 |
+
## Training Details
|
84 |
+
|
85 |
+
### Training Data
|
86 |
+
|
87 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
88 |
+
|
89 |
+
[More Information Needed]
|
90 |
+
|
91 |
+
### Training Procedure
|
92 |
+
|
93 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
94 |
+
|
95 |
+
#### Preprocessing [optional]
|
96 |
+
|
97 |
+
[More Information Needed]
|
98 |
+
|
99 |
+
|
100 |
+
#### Training Hyperparameters
|
101 |
+
|
102 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
103 |
+
|
104 |
+
#### Speeds, Sizes, Times [optional]
|
105 |
+
|
106 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
107 |
+
|
108 |
+
[More Information Needed]
|
109 |
+
|
110 |
+
## Evaluation
|
111 |
+
|
112 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
113 |
+
|
114 |
+
### Testing Data, Factors & Metrics
|
115 |
+
|
116 |
+
#### Testing Data
|
117 |
+
|
118 |
+
<!-- This should link to a Dataset Card if possible. -->
|
119 |
+
|
120 |
+
[More Information Needed]
|
121 |
+
|
122 |
+
#### Factors
|
123 |
+
|
124 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
125 |
+
|
126 |
+
[More Information Needed]
|
127 |
+
|
128 |
+
#### Metrics
|
129 |
+
|
130 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
131 |
+
|
132 |
+
[More Information Needed]
|
133 |
+
|
134 |
+
### Results
|
135 |
+
|
136 |
+
[More Information Needed]
|
137 |
+
|
138 |
+
#### Summary
|
139 |
+
|
140 |
+
|
141 |
+
|
142 |
+
## Model Examination [optional]
|
143 |
+
|
144 |
+
<!-- Relevant interpretability work for the model goes here -->
|
145 |
+
|
146 |
+
[More Information Needed]
|
147 |
+
|
148 |
+
## Environmental Impact
|
149 |
+
|
150 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
151 |
+
|
152 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
153 |
+
|
154 |
+
- **Hardware Type:** [More Information Needed]
|
155 |
+
- **Hours used:** [More Information Needed]
|
156 |
+
- **Cloud Provider:** [More Information Needed]
|
157 |
+
- **Compute Region:** [More Information Needed]
|
158 |
+
- **Carbon Emitted:** [More Information Needed]
|
159 |
+
|
160 |
+
## Technical Specifications [optional]
|
161 |
+
|
162 |
+
### Model Architecture and Objective
|
163 |
+
|
164 |
+
[More Information Needed]
|
165 |
+
|
166 |
+
### Compute Infrastructure
|
167 |
+
|
168 |
+
[More Information Needed]
|
169 |
+
|
170 |
+
#### Hardware
|
171 |
+
|
172 |
+
[More Information Needed]
|
173 |
+
|
174 |
+
#### Software
|
175 |
+
|
176 |
+
[More Information Needed]
|
177 |
+
|
178 |
+
## Citation [optional]
|
179 |
+
|
180 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
181 |
+
|
182 |
+
**BibTeX:**
|
183 |
+
|
184 |
+
[More Information Needed]
|
185 |
+
|
186 |
+
**APA:**
|
187 |
+
|
188 |
+
[More Information Needed]
|
189 |
+
|
190 |
+
## Glossary [optional]
|
191 |
+
|
192 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
193 |
+
|
194 |
+
[More Information Needed]
|
195 |
+
|
196 |
+
## More Information [optional]
|
197 |
+
|
198 |
+
[More Information Needed]
|
199 |
+
|
200 |
+
## Model Card Authors [optional]
|
201 |
+
|
202 |
+
[More Information Needed]
|
203 |
+
|
204 |
+
## Model Card Contact
|
205 |
+
|
206 |
+
[More Information Needed]
|
207 |
+
### Framework versions
|
208 |
+
|
209 |
+
- PEFT 0.17.1
|
checkpoint-24/adapter_config.json
ADDED
@@ -0,0 +1,42 @@
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|
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|
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|
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+
"target_parameters": null,
|
37 |
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"task_type": "CAUSAL_LM",
|
38 |
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"trainable_token_indices": null,
|
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+
"use_dora": false,
|
40 |
+
"use_qalora": false,
|
41 |
+
"use_rslora": false
|
42 |
+
}
|
checkpoint-24/adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
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|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:e18ca4f972837e144f352d6314ef40f341dfdd6c5fc1055778f9b588686da49e
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+
size 30409120
|
checkpoint-24/added_tokens.json
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"<image_soft_token>": 262144
|
3 |
+
}
|
checkpoint-24/chat_template.jinja
ADDED
@@ -0,0 +1,47 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{{ bos_token }}
|
2 |
+
{%- if messages[0]['role'] == 'system' -%}
|
3 |
+
{%- if messages[0]['content'] is string -%}
|
4 |
+
{%- set first_user_prefix = messages[0]['content'] + '
|
5 |
+
|
6 |
+
' -%}
|
7 |
+
{%- else -%}
|
8 |
+
{%- set first_user_prefix = messages[0]['content'][0]['text'] + '
|
9 |
+
|
10 |
+
' -%}
|
11 |
+
{%- endif -%}
|
12 |
+
{%- set loop_messages = messages[1:] -%}
|
13 |
+
{%- else -%}
|
14 |
+
{%- set first_user_prefix = "" -%}
|
15 |
+
{%- set loop_messages = messages -%}
|
16 |
+
{%- endif -%}
|
17 |
+
{%- for message in loop_messages -%}
|
18 |
+
{%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) -%}
|
19 |
+
{{ raise_exception("Conversation roles must alternate user/assistant/user/assistant/...") }}
|
20 |
+
{%- endif -%}
|
21 |
+
{%- if (message['role'] == 'assistant') -%}
|
22 |
+
{%- set role = "model" -%}
|
23 |
+
{%- else -%}
|
24 |
+
{%- set role = message['role'] -%}
|
25 |
+
{%- endif -%}
|
26 |
+
{{ '<start_of_turn>' + role + '
|
27 |
+
' + (first_user_prefix if loop.first else "") }}
|
28 |
+
{%- if message['content'] is string -%}
|
29 |
+
{{ message['content'] | trim }}
|
30 |
+
{%- elif message['content'] is iterable -%}
|
31 |
+
{%- for item in message['content'] -%}
|
32 |
+
{%- if item['type'] == 'image' -%}
|
33 |
+
{{ '<start_of_image>' }}
|
34 |
+
{%- elif item['type'] == 'text' -%}
|
35 |
+
{{ item['text'] | trim }}
|
36 |
+
{%- endif -%}
|
37 |
+
{%- endfor -%}
|
38 |
+
{%- else -%}
|
39 |
+
{{ raise_exception("Invalid content type") }}
|
40 |
+
{%- endif -%}
|
41 |
+
{{ '<end_of_turn>
|
42 |
+
' }}
|
43 |
+
{%- endfor -%}
|
44 |
+
{%- if add_generation_prompt -%}
|
45 |
+
{{'<start_of_turn>model
|
46 |
+
'}}
|
47 |
+
{%- endif -%}
|
checkpoint-24/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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2 |
+
oid sha256:dfda1770bef703f248adf24ef72ebc3fdb96253f64782af2f7bf2807475430a7
|
3 |
+
size 60963979
|
checkpoint-24/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
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|
|
|
|
|
|
|
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1 |
+
version https://git-lfs.github.com/spec/v1
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2 |
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oid sha256:9e096390bab0444e85026b90854a4198264726c1d7bedf02f5f2406953785962
|
3 |
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size 14645
|
checkpoint-24/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
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|
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|
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|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:817a83ea1c2988e6dd498bb2cb1922b79fe6cdd5fb3e9dadad8593e0f7a9abed
|
3 |
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size 1465
|
checkpoint-24/special_tokens_map.json
ADDED
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"boi_token": "<start_of_image>",
|
3 |
+
"bos_token": {
|
4 |
+
"content": "<bos>",
|
5 |
+
"lstrip": false,
|
6 |
+
"normalized": false,
|
7 |
+
"rstrip": false,
|
8 |
+
"single_word": false
|
9 |
+
},
|
10 |
+
"eoi_token": "<end_of_image>",
|
11 |
+
"eos_token": {
|
12 |
+
"content": "<eos>",
|
13 |
+
"lstrip": false,
|
14 |
+
"normalized": false,
|
15 |
+
"rstrip": false,
|
16 |
+
"single_word": false
|
17 |
+
},
|
18 |
+
"image_token": "<image_soft_token>",
|
19 |
+
"pad_token": {
|
20 |
+
"content": "<pad>",
|
21 |
+
"lstrip": false,
|
22 |
+
"normalized": false,
|
23 |
+
"rstrip": false,
|
24 |
+
"single_word": false
|
25 |
+
},
|
26 |
+
"unk_token": {
|
27 |
+
"content": "<unk>",
|
28 |
+
"lstrip": false,
|
29 |
+
"normalized": false,
|
30 |
+
"rstrip": false,
|
31 |
+
"single_word": false
|
32 |
+
}
|
33 |
+
}
|
checkpoint-24/tokenizer.json
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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2 |
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oid sha256:4667f2089529e8e7657cfb6d1c19910ae71ff5f28aa7ab2ff2763330affad795
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size 33384568
|
checkpoint-24/tokenizer.model
ADDED
@@ -0,0 +1,3 @@
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|
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|
|
|
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1 |
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version https://git-lfs.github.com/spec/v1
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oid sha256:1299c11d7cf632ef3b4e11937501358ada021bbdf7c47638d13c0ee982f2e79c
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size 4689074
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checkpoint-24/tokenizer_config.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-24/trainer_state.json
ADDED
@@ -0,0 +1,70 @@
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|
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{
|
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"best_global_step": null,
|
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"best_metric": null,
|
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"best_model_checkpoint": null,
|
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"epoch": 6.0,
|
6 |
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"eval_steps": 500,
|
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"global_step": 24,
|
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"is_hyper_param_search": false,
|
9 |
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"is_local_process_zero": true,
|
10 |
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"is_world_process_zero": true,
|
11 |
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"log_history": [
|
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{
|
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"epoch": 1.3137254901960784,
|
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"learning_rate": 9.944154131125642e-05,
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"step": 5
|
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},
|
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{
|
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"epoch": 2.627450980392157,
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"grad_norm": 2.5254969596862793,
|
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"learning_rate": 8.117449009293668e-05,
|
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"loss": 1.4733,
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"mean_token_accuracy": 0.7026565670967102,
|
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"num_tokens": 40292.0,
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"step": 10
|
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},
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{
|
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"epoch": 3.9411764705882355,
|
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"grad_norm": 1.7219014167785645,
|
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"learning_rate": 4.626349532067879e-05,
|
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"loss": 1.226,
|
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"mean_token_accuracy": 0.7456677306943865,
|
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"num_tokens": 60124.0,
|
37 |
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"step": 15
|
38 |
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},
|
39 |
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{
|
40 |
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"epoch": 5.0,
|
41 |
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"grad_norm": 3.0464484691619873,
|
42 |
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"learning_rate": 1.3347406408508695e-05,
|
43 |
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"loss": 1.1411,
|
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"mean_token_accuracy": 0.760354792630231,
|
45 |
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"num_tokens": 76005.0,
|
46 |
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"step": 20
|
47 |
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}
|
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+
],
|
49 |
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"logging_steps": 5,
|
50 |
+
"max_steps": 24,
|
51 |
+
"num_input_tokens_seen": 0,
|
52 |
+
"num_train_epochs": 6,
|
53 |
+
"save_steps": 100,
|
54 |
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"stateful_callbacks": {
|
55 |
+
"TrainerControl": {
|
56 |
+
"args": {
|
57 |
+
"should_epoch_stop": false,
|
58 |
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"should_evaluate": false,
|
59 |
+
"should_log": false,
|
60 |
+
"should_save": true,
|
61 |
+
"should_training_stop": true
|
62 |
+
},
|
63 |
+
"attributes": {}
|
64 |
+
}
|
65 |
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},
|
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"total_flos": 59057709120000.0,
|
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"train_batch_size": 1,
|
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"trial_name": null,
|
69 |
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"trial_params": null
|
70 |
+
}
|
checkpoint-24/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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2 |
+
oid sha256:60d668f9ccac029cdd9d91b82632141c893910e680134ba58d03b2e3bfd649fd
|
3 |
+
size 6161
|
runs/Aug27_22-53-45_ba94a6062344/events.out.tfevents.1756335231.ba94a6062344.4364.0
ADDED
@@ -0,0 +1,3 @@
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|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:a3b68e652f5b77fb8d7b069db5db00a1def2f9a134fa31909302c7d4e0fb80bc
|
3 |
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size 18949
|
special_tokens_map.json
ADDED
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"boi_token": "<start_of_image>",
|
3 |
+
"bos_token": {
|
4 |
+
"content": "<bos>",
|
5 |
+
"lstrip": false,
|
6 |
+
"normalized": false,
|
7 |
+
"rstrip": false,
|
8 |
+
"single_word": false
|
9 |
+
},
|
10 |
+
"eoi_token": "<end_of_image>",
|
11 |
+
"eos_token": {
|
12 |
+
"content": "<eos>",
|
13 |
+
"lstrip": false,
|
14 |
+
"normalized": false,
|
15 |
+
"rstrip": false,
|
16 |
+
"single_word": false
|
17 |
+
},
|
18 |
+
"image_token": "<image_soft_token>",
|
19 |
+
"pad_token": {
|
20 |
+
"content": "<pad>",
|
21 |
+
"lstrip": false,
|
22 |
+
"normalized": false,
|
23 |
+
"rstrip": false,
|
24 |
+
"single_word": false
|
25 |
+
},
|
26 |
+
"unk_token": {
|
27 |
+
"content": "<unk>",
|
28 |
+
"lstrip": false,
|
29 |
+
"normalized": false,
|
30 |
+
"rstrip": false,
|
31 |
+
"single_word": false
|
32 |
+
}
|
33 |
+
}
|