| --- |
| library_name: peft |
| license: other |
| base_model: mistralai/Ministral-8B-Instruct-2410 |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: workspace/FinLoRA/lora/axolotl-output/xbrl_extract_mistral_8b_8bits_r8 |
| 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: `0.10.0` |
| ```yaml |
| base_model: mistralai/Ministral-8B-Instruct-2410 |
| model_type: AutoModelForCausalLM |
| tokenizer_type: AutoTokenizer |
| gradient_accumulation_steps: 8 |
| micro_batch_size: 1 |
| num_epochs: 1 |
| optimizer: adamw_bnb_8bit |
| lr_scheduler: cosine |
| learning_rate: 0.0001 |
| load_in_8bit: true |
| load_in_4bit: false |
| bnb_4bit_use_double_quant: false |
| bnb_4bit_quant_type: null |
| bnb_4bit_compute_dtype: null |
| adapter: lora |
| lora_model_dir: null |
| lora_r: 8 |
| lora_alpha: 16 |
| lora_dropout: 0.05 |
| lora_target_modules: |
| - q_proj |
| - v_proj |
| - k_proj |
| - path: /workspace/FinLoRA/data/train/xbrl_extract_train.jsonl |
| type: |
| system_prompt: '' |
| field_system: system |
| field_instruction: context |
| field_output: target |
| format: '[INST] {instruction} [/INST]' |
| no_input_format: '[INST] {instruction} [/INST]' |
| dataset_prepared_path: null |
| val_set_size: 0.02 |
| output_dir: /workspace/FinLoRA/lora/axolotl-output/xbrl_extract_mistral_8b_8bits_r8 |
| peft_use_dora: false |
| peft_use_rslora: false |
| sequence_len: 4096 |
| sample_packing: false |
| pad_to_sequence_len: false |
| wandb_project: finlora_models |
| wandb_entity: null |
| wandb_watch: gradients |
| wandb_name: xbrl_extract_mistral_8b_8bits_r8 |
| wandb_log_model: 'false' |
| bf16: auto |
| tf32: false |
| gradient_checkpointing: true |
| resume_from_checkpoint: null |
| logging_steps: 500 |
| flash_attention: false |
| deepspeed: deepspeed_configs/zero1.json |
| warmup_steps: 10 |
| evals_per_epoch: 4 |
| saves_per_epoch: 1 |
| weight_decay: 0.0 |
| special_tokens: |
| pad_token: <|end_of_text|> |
| |
| ``` |
|
|
| </details><br> |
|
|
| # workspace/FinLoRA/lora/axolotl-output/xbrl_extract_mistral_8b_8bits_r8 |
| |
| This model is a fine-tuned version of [mistralai/Ministral-8B-Instruct-2410](https://huggingface.co/mistralai/Ministral-8B-Instruct-2410) on the /workspace/FinLoRA/data/train/xbrl_extract_train.jsonl dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.0001 |
| |
| ## 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: 1 |
| - eval_batch_size: 1 |
| - seed: 42 |
| - distributed_type: multi-GPU |
| - num_devices: 4 |
| - gradient_accumulation_steps: 8 |
| - total_train_batch_size: 32 |
| - total_eval_batch_size: 4 |
| - 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: 119 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:------:|:----:|:---------------:| |
| | No log | 0 | 0 | 0.4056 | |
| | No log | 0.2526 | 30 | 0.0009 | |
| | No log | 0.5053 | 60 | 0.0004 | |
| | No log | 0.7579 | 90 | 0.0001 | |
|
|
|
|
| ### Framework versions |
|
|
| - PEFT 0.15.2 |
| - Transformers 4.52.3 |
| - Pytorch 2.8.0.dev20250319+cu128 |
| - Datasets 3.6.0 |
| - Tokenizers 0.21.4 |
