| --- |
| license: apache-2.0 |
| library_name: peft |
| tags: |
| - trl |
| - sft |
| - generated_from_trainer |
| datasets: |
| - generator |
| base_model: mistralai/Mistral-7B-v0.1 |
| model-index: |
| - name: mistral7b_instruct_generation |
| 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. --> |
|
|
| # mistral7b_instruct_generation |
|
|
| This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the generator dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.8017 |
|
|
| ## 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: 8 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: constant |
| - lr_scheduler_warmup_steps: 0.03 |
| - training_steps: 500 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 1.8552 | 0.0 | 20 | 1.8246 | |
| | 1.9103 | 0.01 | 40 | 1.7950 | |
| | 1.8802 | 0.01 | 60 | 1.7918 | |
| | 1.7641 | 0.01 | 80 | 1.7952 | |
| | 1.8434 | 0.01 | 100 | 1.7969 | |
| | 1.8108 | 0.02 | 120 | 1.7955 | |
| | 1.8556 | 0.02 | 140 | 1.7928 | |
| | 1.8986 | 0.02 | 160 | 1.7948 | |
| | 1.8581 | 0.03 | 180 | 1.8270 | |
| | 1.7897 | 0.03 | 200 | 1.7943 | |
| | 1.7806 | 0.03 | 220 | 1.7922 | |
| | 1.8261 | 0.03 | 240 | 1.7956 | |
| | 1.8138 | 0.04 | 260 | 1.7988 | |
| | 1.8244 | 0.04 | 280 | 1.7902 | |
| | 1.8769 | 0.04 | 300 | 1.7977 | |
| | 1.896 | 0.04 | 320 | 1.7932 | |
| | 1.9111 | 0.05 | 340 | 1.7987 | |
| | 1.8624 | 0.05 | 360 | 1.7998 | |
| | 1.9663 | 0.05 | 380 | 1.7964 | |
| | 1.9383 | 0.06 | 400 | 1.7989 | |
| | 1.8478 | 0.06 | 420 | 1.7924 | |
| | 1.9117 | 0.06 | 440 | 1.7899 | |
| | 1.8742 | 0.06 | 460 | 1.7920 | |
| | 1.7778 | 0.07 | 480 | 1.8015 | |
| | 1.9523 | 0.07 | 500 | 1.8017 | |
| |
| |
| ### Framework versions |
| |
| - PEFT 0.8.2 |
| - Transformers 4.37.2 |
| - Pytorch 2.1.0+cu121 |
| - Datasets 2.16.1 |
| - Tokenizers 0.15.1 |
