End of training

README.md

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+---
+library_name: peft
+license: apache-2.0
+base_model: echarlaix/tiny-random-mistral
+tags:
+- axolotl
+- generated_from_trainer
+model-index:
+- name: f8960a9d-edeb-4b29-bcdb-f5db588483bc
+  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: echarlaix/tiny-random-mistral
+bf16: true
+chat_template: llama3
+dataset_prepared_path: null
+datasets:
+- data_files:
+  - 1d4c9f6e3fdcd125_train_data.json
+  ds_type: json
+  format: custom
+  path: /workspace/input_data/1d4c9f6e3fdcd125_train_data.json
+  type:
+    field_instruction: instruction
+    field_output: output
+    format: '{instruction}'
+    no_input_format: '{instruction}'
+    system_format: '{system}'
+    system_prompt: ''
+debug: null
+deepspeed: null
+early_stopping_patience: 2
+early_stopping_threshold: 0.0001
+eval_max_new_tokens: 128
+eval_steps: 100
+eval_table_size: null
+flash_attention: true
+fp16: null
+fsdp: null
+fsdp_config: null
+gradient_accumulation_steps: 8
+gradient_checkpointing: true
+group_by_length: false
+hub_model_id: romainnn/f8960a9d-edeb-4b29-bcdb-f5db588483bc
+hub_repo: null
+hub_strategy: checkpoint
+hub_token: null
+learning_rate: 0.0002
+load_best_model_at_end: true
+load_in_4bit: false
+load_in_8bit: false
+local_rank: null
+logging_steps: 1
+lora_alpha: 32
+lora_dropout: 0.05
+lora_fan_in_fan_out: null
+lora_model_dir: null
+lora_r: 16
+lora_target_linear: true
+lora_target_modules:
+- q_proj
+- k_proj
+- v_proj
+lr_scheduler: cosine
+max_grad_norm: 1.0
+max_steps: 2652
+micro_batch_size: 4
+mlflow_experiment_name: /tmp/1d4c9f6e3fdcd125_train_data.json
+model_type: AutoModelForCausalLM
+num_epochs: 2
+optimizer: adamw_bnb_8bit
+output_dir: miner_id_24
+pad_to_sequence_len: true
+resume_from_checkpoint: null
+s2_attention: null
+sample_packing: false
+save_steps: 100
+sequence_len: 2048
+special_tokens:
+  pad_token: </s>
+strict: false
+tf32: true
+tokenizer_type: AutoTokenizer
+train_on_inputs: false
+trust_remote_code: true
+val_set_size: 0.04
+wandb_entity: null
+wandb_mode: online
+wandb_name: 26545dad-1c8b-4b71-bd6a-45e32355614f
+wandb_project: Gradients-On-Demand
+wandb_run: your_name
+wandb_runid: 26545dad-1c8b-4b71-bd6a-45e32355614f
+warmup_steps: 10
+weight_decay: 0.0
+xformers_attention: null
+
+```
+
+</details><br>
+
+# f8960a9d-edeb-4b29-bcdb-f5db588483bc
+
+This model is a fine-tuned version of [echarlaix/tiny-random-mistral](https://huggingface.co/echarlaix/tiny-random-mistral) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 10.2714
+
+## 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: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 32
+- optimizer: Use OptimizerNames.ADAMW_BNB 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: 2652
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 83.0589       | 0.0007 | 1    | 10.3802         |
+| 82.5901       | 0.0686 | 100  | 10.3337         |
+| 82.5677       | 0.1371 | 200  | 10.3225         |
+| 82.521        | 0.2057 | 300  | 10.3162         |
+| 82.3826       | 0.2742 | 400  | 10.3090         |
+| 82.4453       | 0.3428 | 500  | 10.3018         |
+| 82.4075       | 0.4113 | 600  | 10.2958         |
+| 82.3576       | 0.4799 | 700  | 10.2901         |
+| 82.3485       | 0.5485 | 800  | 10.2865         |
+| 82.3176       | 0.6170 | 900  | 10.2842         |
+| 82.255        | 0.6856 | 1000 | 10.2815         |
+| 82.195        | 0.7541 | 1100 | 10.2797         |
+| 82.2751       | 0.8227 | 1200 | 10.2779         |
+| 82.3208       | 0.8913 | 1300 | 10.2764         |
+| 82.2335       | 0.9598 | 1400 | 10.2753         |
+| 82.2106       | 1.0287 | 1500 | 10.2744         |
+| 82.2033       | 1.0973 | 1600 | 10.2736         |
+| 82.223        | 1.1658 | 1700 | 10.2730         |
+| 82.3021       | 1.2344 | 1800 | 10.2725         |
+| 82.313        | 1.3029 | 1900 | 10.2722         |
+| 82.3386       | 1.3715 | 2000 | 10.2719         |
+| 82.2007       | 1.4401 | 2100 | 10.2718         |
+| 82.2385       | 1.5086 | 2200 | 10.2716         |
+| 82.2108       | 1.5772 | 2300 | 10.2715         |
+| 82.254        | 1.6457 | 2400 | 10.2714         |
+| 82.2093       | 1.7143 | 2500 | 10.2714         |
+| 82.2733       | 1.7828 | 2600 | 10.2714         |
+
+
+### Framework versions
+
+- PEFT 0.13.2
+- Transformers 4.46.0
+- Pytorch 2.5.0+cu124
+- Datasets 3.0.1
+- Tokenizers 0.20.1

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