| --- |
| license: apache-2.0 |
| library_name: peft |
| tags: |
| - trl |
| - sft |
| - generated_from_trainer |
| base_model: mistralai/Mistral-7B-v0.1 |
| model-index: |
| - name: lc_random_repeat |
| 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. --> |
|
|
| # lc_random_repeat |
|
|
| This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.6186 |
|
|
| ## 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: 2e-05 |
| - train_batch_size: 1 |
| - eval_batch_size: 1 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: cosine |
| - num_epochs: 50 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 1.4379 | 1.0 | 179 | 1.4131 | |
| | 1.4264 | 2.0 | 358 | 1.3916 | |
| | 1.3008 | 3.0 | 537 | 1.3836 | |
| | 1.3527 | 4.0 | 716 | 1.3795 | |
| | 1.3232 | 5.0 | 895 | 1.3847 | |
| | 1.123 | 6.0 | 1074 | 1.3991 | |
| | 1.2001 | 7.0 | 1253 | 1.3956 | |
| | 1.2633 | 8.0 | 1432 | 1.4122 | |
| | 1.246 | 9.0 | 1611 | 1.4136 | |
| | 1.1377 | 10.0 | 1790 | 1.4250 | |
| | 1.1705 | 11.0 | 1969 | 1.4381 | |
| | 1.1582 | 12.0 | 2148 | 1.4502 | |
| | 1.1204 | 13.0 | 2327 | 1.4652 | |
| | 1.164 | 14.0 | 2506 | 1.4837 | |
| | 1.1277 | 15.0 | 2685 | 1.4842 | |
| | 1.0011 | 16.0 | 2864 | 1.5123 | |
| | 1.018 | 17.0 | 3043 | 1.5116 | |
| | 1.0135 | 18.0 | 3222 | 1.5332 | |
| | 1.0115 | 19.0 | 3401 | 1.5386 | |
| | 0.9707 | 20.0 | 3580 | 1.5623 | |
| | 1.105 | 21.0 | 3759 | 1.5591 | |
| | 1.0399 | 22.0 | 3938 | 1.5469 | |
| | 1.0203 | 23.0 | 4117 | 1.5725 | |
| | 1.0629 | 24.0 | 4296 | 1.5643 | |
| | 0.9934 | 25.0 | 4475 | 1.5698 | |
| | 0.9231 | 26.0 | 4654 | 1.5924 | |
| | 0.9423 | 27.0 | 4833 | 1.5916 | |
| | 1.0153 | 28.0 | 5012 | 1.5976 | |
| | 0.9623 | 29.0 | 5191 | 1.6060 | |
| | 0.796 | 30.0 | 5370 | 1.6051 | |
| | 0.9592 | 31.0 | 5549 | 1.6067 | |
| | 0.9507 | 32.0 | 5728 | 1.6060 | |
| | 0.7748 | 33.0 | 5907 | 1.6183 | |
| | 1.0306 | 34.0 | 6086 | 1.6126 | |
| | 0.8095 | 35.0 | 6265 | 1.6120 | |
| | 0.8423 | 36.0 | 6444 | 1.6163 | |
| | 0.8873 | 37.0 | 6623 | 1.6162 | |
| | 0.9068 | 38.0 | 6802 | 1.6177 | |
| | 0.9126 | 39.0 | 6981 | 1.6182 | |
| | 0.948 | 40.0 | 7160 | 1.6169 | |
| | 0.8804 | 41.0 | 7339 | 1.6188 | |
| | 0.8854 | 42.0 | 7518 | 1.6185 | |
| | 0.8272 | 43.0 | 7697 | 1.6170 | |
| | 0.9812 | 44.0 | 7876 | 1.6179 | |
| | 0.8171 | 45.0 | 8055 | 1.6183 | |
| | 0.8417 | 46.0 | 8234 | 1.6177 | |
| | 0.9621 | 47.0 | 8413 | 1.6188 | |
| | 0.9239 | 48.0 | 8592 | 1.6179 | |
| | 0.9687 | 49.0 | 8771 | 1.6189 | |
| | 0.8301 | 50.0 | 8950 | 1.6186 | |
|
|
|
|
| ### Framework versions |
|
|
| - PEFT 0.11.1 |
| - Transformers 4.41.2 |
| - Pytorch 2.1.0+cu118 |
| - Datasets 2.19.2 |
| - Tokenizers 0.19.1 |
