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: d0c65863-45bc-4f92-9929-f5e665eff8af
+  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: `0.4.1`
+```yaml
+adapter: lora
+base_model: EleutherAI/pythia-160m
+bf16: true
+chat_template: llama3
+dataset_prepared_path: null
+datasets:
+- data_files:
+  - cb60d6a9b4ff3d3a_train_data.json
+  ds_type: json
+  field: query
+  path: /workspace/input_data/cb60d6a9b4ff3d3a_train_data.json
+  type: completion
+debug: null
+deepspeed: null
+device_map: auto
+early_stopping_patience: 3
+ema_decay: 0.9992
+eval_max_new_tokens: 128
+eval_steps: 100
+eval_table_size: null
+evals_per_epoch: null
+flash_attention: true
+fp16: false
+fsdp: null
+fsdp_config: null
+gradient_accumulation_steps: 4
+gradient_checkpointing: true
+greater_is_better: false
+group_by_length: false
+hub_model_id: JoshMe1/d0c65863-45bc-4f92-9929-f5e665eff8af
+hub_repo: null
+hub_strategy: checkpoint
+hub_token: null
+learning_rate: 0.0001
+load_best_model_at_end: true
+load_in_4bit: false
+load_in_8bit: true
+local_rank: null
+logging_steps: 10
+lora_alpha: 256
+lora_dropout: 0.1
+lora_fan_in_fan_out: null
+lora_model_dir: null
+lora_r: 64
+lora_target_linear: true
+lr_scheduler: reduce_lr_on_plateau
+lr_scheduler_factor: 0.5
+lr_scheduler_patience: 2
+max_memory:
+  0: 130GB
+max_steps: 500
+metric_for_best_model: eval_loss
+micro_batch_size: 4
+mlflow_experiment_name: /tmp/cb60d6a9b4ff3d3a_train_data.json
+model_type: AutoModelForCausalLM
+num_epochs: 1
+optimizer: adamw_hf
+output_dir: miner_id_24
+pad_to_sequence_len: true
+resume_from_checkpoint: null
+s2_attention: null
+sample_packing: false
+save_steps: 100
+saves_per_epoch: null
+sequence_len: 2048
+special_tokens:
+  pad_token: <|endoftext|>
+strict: false
+tf32: false
+tokenizer_type: AutoTokenizer
+train_on_inputs: false
+trust_remote_code: true
+use_ema: true
+val_set_size: 0.05
+wandb_entity: null
+wandb_mode: online
+wandb_name: 72033cbb-9607-4a6e-a252-62a89a2f99d4
+wandb_project: Gradients-On-Demand
+wandb_run: your_name
+wandb_runid: 72033cbb-9607-4a6e-a252-62a89a2f99d4
+warmup_steps: 200
+weight_decay: 0.01
+xformers_attention: null
+
+```
+
+</details><br>
+
+# d0c65863-45bc-4f92-9929-f5e665eff8af
+
+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: 4.9802
+
+## 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: 0.0001
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 16
+- optimizer: Use OptimizerNames.ADAMW_HF with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: reduce_lr_on_plateau
+- lr_scheduler_warmup_steps: 200
+- training_steps: 500
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| No log        | 0.0001 | 1    | 4.8533          |
+| 21.894        | 0.0085 | 100  | 5.8594          |
+| 22.1192       | 0.0169 | 200  | 5.7406          |
+| 20.4868       | 0.0254 | 300  | 5.1533          |
+| 20.419        | 0.0339 | 400  | 5.1123          |
+| 20.3705       | 0.0423 | 500  | 4.9802          |
+
+
+### Framework versions
+
+- PEFT 0.13.2
+- Transformers 4.46.0
+- Pytorch 2.5.0+cu124
+- Datasets 3.0.1
+- Tokenizers 0.20.1

adapter_model.bin

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