End of training

README.md

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+---
+library_name: peft
+license: apache-2.0
+base_model: EleutherAI/pythia-160m
+tags:
+- axolotl
+- generated_from_trainer
+model-index:
+- name: fafe2507-c35f-4499-822e-38a96e48c8f4
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
+<details><summary>See axolotl config</summary>
+
+axolotl version: `0.5.2`
+```yaml
+adapter: lora
+auto_find_batch_size: true
+base_model: EleutherAI/pythia-160m
+bf16: auto
+chat_template: llama3
+dataset_prepared_path: null
+datasets:
+- data_files:
+  - 51b6f30e316baa4d_train_data.json
+  ds_type: json
+  format: custom
+  path: /workspace/input_data/51b6f30e316baa4d_train_data.json
+  type:
+    field_instruction: prompt
+    field_output: chosen
+    format: '{instruction}'
+    no_input_format: '{instruction}'
+    system_format: '{system}'
+    system_prompt: ''
+debug: null
+deepspeed: /workspace/axolotl/configs/deepspeed_stage2.json
+eval_max_new_tokens: 128
+eval_sample_packing: false
+eval_steps: 10
+eval_table_size: null
+flash_attention: true
+fp16: false
+gpu_memory_limit: 80GiB
+gradient_accumulation_steps: 4
+gradient_checkpointing: true
+group_by_length: true
+hub_model_id: PhoenixB/fafe2507-c35f-4499-822e-38a96e48c8f4
+hub_repo: null
+hub_strategy: checkpoint
+hub_token: null
+learning_rate: 2e-4
+liger_fused_linear_cross_entropy: true
+liger_glu_activation: true
+liger_layer_norm: true
+liger_rms_norm: true
+liger_rope: true
+load_in_4bit: false
+load_in_8bit: false
+local_rank: null
+logging_steps: 5
+lora_alpha: 16
+lora_dropout: 0.05
+lora_fan_in_fan_out: null
+lora_model_dir: null
+lora_r: 32
+lora_target_linear: true
+lr_scheduler: cosine
+max_steps: 100
+micro_batch_size: 2
+mlflow_experiment_name: /tmp/51b6f30e316baa4d_train_data.json
+model_type: AutoModelForCausalLM
+num_epochs: 3
+optimizer: adamw_torch_fused
+output_dir: miner_id_24
+pad_to_sequence_len: true
+plugins:
+- axolotl.integrations.liger.LigerPlugin
+resume_from_checkpoint: null
+s2_attention: null
+sample_packing: false
+save_steps: 10
+sequence_len: 2048
+special_tokens:
+  pad_token: <|endoftext|>
+strict: false
+tf32: true
+tokenizer_type: AutoTokenizer
+train_on_inputs: false
+trust_remote_code: true
+val_set_size: 0.05
+wandb_entity: null
+wandb_mode: online
+wandb_name: e25ed374-80f2-4135-b735-30345241b0e6
+wandb_project: Gradients-On-Demand
+wandb_run: your_name
+wandb_runid: e25ed374-80f2-4135-b735-30345241b0e6
+warmup_steps: 10
+weight_decay: 0.0
+
+```
+
+</details><br>
+
+# fafe2507-c35f-4499-822e-38a96e48c8f4
+
+This model is a fine-tuned version of [EleutherAI/pythia-160m](https://huggingface.co/EleutherAI/pythia-160m) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.1491
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.0002
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 2
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 16
+- total_eval_batch_size: 4
+- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 10
+- training_steps: 100
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| No log        | 0.0017 | 1    | 3.3796          |
+| 3.2285        | 0.0171 | 10   | 3.3232          |
+| 3.2074        | 0.0342 | 20   | 3.2459          |
+| 3.1801        | 0.0513 | 30   | 3.2354          |
+| 3.3996        | 0.0684 | 40   | 3.2215          |
+| 3.5703        | 0.0855 | 50   | 3.2112          |
+| 3.1746        | 0.1026 | 60   | 3.1977          |
+| 3.1637        | 0.1197 | 70   | 3.1740          |
+| 3.0516        | 0.1368 | 80   | 3.1484          |
+| 3.1172        | 0.1539 | 90   | 3.1574          |
+| 3.4377        | 0.1710 | 100  | 3.1491          |
+
+
+### Framework versions
+
+- PEFT 0.13.2
+- Transformers 4.46.3
+- Pytorch 2.5.1+cu124
+- Datasets 3.1.0
+- Tokenizers 0.20.3

adapter_model.bin

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