Training in progress, step 14

README.md

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+---
+library_name: peft
+license: apache-2.0
+base_model: unsloth/mistral-7b
+tags:
+- axolotl
+- generated_from_trainer
+model-index:
+- name: test-mistral-7b
+  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
+base_model: unsloth/mistral-7b
+bf16: auto
+datasets:
+- data_files:
+  - 8219297a1f15c78f_train_data.json
+  ds_type: json
+  format: custom
+  path: 8219297a1f15c78f_train_data.json
+  preprocessing:
+  - shuffle: true
+  type:
+    field: null
+    field_input: null
+    field_instruction: prompt
+    field_output: response
+    field_system: null
+    format: null
+    no_input_format: null
+    system_format: '{system}'
+    system_prompt: ''
+debug: null
+device_map: auto
+early_stopping_patience: null
+eval_max_new_tokens: 16
+eval_table_max_new_tokens: 128
+eval_table_size: null
+evals_per_epoch: 8
+flash_attention: true
+fp16: null
+fsdp: null
+fsdp_config: null
+gradient_accumulation_steps: 4
+gradient_checkpointing: true
+group_by_length: false
+hub_model_id: taopanda/test-mistral-7b
+is_mistral_derived_model: true
+learning_rate: 0.0005
+load_in_4bit: false
+load_in_8bit: false
+local_rank: null
+logging_steps: 1
+lora_alpha: 128
+lora_dropout: 0.05
+lora_r: 64
+lora_target_modules:
+- q_proj
+- v_proj
+lr_scheduler: cosine
+max_grad_norm: 1.0
+max_steps: 450
+micro_batch_size: 4
+model_type: MistralForCausalLM
+num_epochs: 1
+optimizer: adamw_torch
+output_dir: ./out/taopanda_test-mistral-7b
+pad_to_sequence_len: true
+resume_from_checkpoint: null
+save_steps: 0.15
+save_total_limit: 1
+seed: 42
+sequence_len: 1024
+special_tokens:
+  bos_token: <s>
+  eos_token: </s>
+  unk_token: <unk>
+strict: false
+tf32: true
+tokenizer_type: AutoTokenizer
+train_on_inputs: false
+trust_remote_code: true
+use_flash_attn_2: true
+val_set_size: 0.1
+wandb_entity: fatcat87-taopanda
+wandb_log_model: null
+wandb_mode: online
+wandb_name: taopanda_test-mistral-7b
+wandb_project: subnet56-test
+wandb_runid: taopanda_test-mistral-7b
+wandb_watch: null
+warmup_ratio: 0.06
+weight_decay: 0.01
+xformers_attention: null
+
+```
+
+</details><br>
+
+# test-mistral-7b
+
+This model is a fine-tuned version of [unsloth/mistral-7b](https://huggingface.co/unsloth/mistral-7b) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6985
+
+## 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: 0.0005
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 64
+- total_eval_batch_size: 16
+- optimizer: Use OptimizerNames.ADAMW_TORCH 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: 5
+- training_steps: 87
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 1.0651        | 0.0116 | 1    | 1.0560          |
+| 0.7617        | 0.1272 | 11   | 0.7764          |
+| 0.7784        | 0.2543 | 22   | 0.7421          |
+| 0.6848        | 0.3815 | 33   | 0.7290          |
+| 0.7263        | 0.5087 | 44   | 0.7161          |
+| 0.7062        | 0.6358 | 55   | 0.7074          |
+| 0.7281        | 0.7630 | 66   | 0.7020          |
+| 0.7402        | 0.8902 | 77   | 0.6985          |
+
+
+### Framework versions
+
+- PEFT 0.13.2
+- Transformers 4.46.3
+- Pytorch 2.5.1+cu124
+- Datasets 3.1.0
+- Tokenizers 0.20.3

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