| | --- |
| | library_name: peft |
| | license: mit |
| | base_model: klyang/MentaLLaMA-chat-7B-hf |
| | tags: |
| | - llama-factory |
| | - lora |
| | - generated_from_trainer |
| | model-index: |
| | - name: MentaLLaMA-chat-7B-PsyCourse-info-fold2 |
| | 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. --> |
| |
|
| | # MentaLLaMA-chat-7B-PsyCourse-info-fold2 |
| |
|
| | This model is a fine-tuned version of [klyang/MentaLLaMA-chat-7B-hf](https://huggingface.co/klyang/MentaLLaMA-chat-7B-hf) on the course-info-train-fold2 dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.1332 |
| |
|
| | ## 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 |
| | - gradient_accumulation_steps: 16 |
| | - total_train_batch_size: 16 |
| | - optimizer: Use 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_ratio: 0.1 |
| | - num_epochs: 5.0 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:------:|:----:|:---------------:| |
| | | 0.7586 | 0.3951 | 10 | 0.6472 | |
| | | 0.225 | 0.7901 | 20 | 0.2750 | |
| | | 0.2279 | 1.1852 | 30 | 0.1986 | |
| | | 0.1615 | 1.5802 | 40 | 0.1691 | |
| | | 0.1891 | 1.9753 | 50 | 0.1546 | |
| | | 0.1057 | 2.3704 | 60 | 0.1461 | |
| | | 0.146 | 2.7654 | 70 | 0.1418 | |
| | | 0.0949 | 3.1605 | 80 | 0.1380 | |
| | | 0.078 | 3.5556 | 90 | 0.1355 | |
| | | 0.0861 | 3.9506 | 100 | 0.1338 | |
| | | 0.0849 | 4.3457 | 110 | 0.1334 | |
| | | 0.0928 | 4.7407 | 120 | 0.1332 | |
| |
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| |
|
| | ### Framework versions |
| |
|
| | - PEFT 0.12.0 |
| | - Transformers 4.46.1 |
| | - Pytorch 2.5.1+cu124 |
| | - Datasets 3.1.0 |
| | - Tokenizers 0.20.3 |
