---
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: mistralai/Mistral-7B-v0.1
model-index:
- name: lc_repeat_unk_as_pad_token
  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_repeat_unk_as_pad_token

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: 2.0279

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.4374        | 1.0   | 90   | 1.4046          |
| 1.2546        | 2.0   | 180  | 1.3617          |
| 1.3413        | 3.0   | 270  | 1.3468          |
| 1.2581        | 4.0   | 360  | 1.3482          |
| 1.2393        | 5.0   | 450  | 1.3575          |
| 1.1919        | 6.0   | 540  | 1.3651          |
| 1.1748        | 7.0   | 630  | 1.3817          |
| 1.0457        | 8.0   | 720  | 1.4023          |
| 0.986         | 9.0   | 810  | 1.4315          |
| 1.1143        | 10.0  | 900  | 1.4428          |
| 0.9689        | 11.0  | 990  | 1.4557          |
| 0.9452        | 12.0  | 1080 | 1.5132          |
| 0.9422        | 13.0  | 1170 | 1.5219          |
| 1.0653        | 14.0  | 1260 | 1.5547          |
| 1.0175        | 15.0  | 1350 | 1.6080          |
| 0.8469        | 16.0  | 1440 | 1.6143          |
| 0.8679        | 17.0  | 1530 | 1.6090          |
| 0.8854        | 18.0  | 1620 | 1.6813          |
| 0.789         | 19.0  | 1710 | 1.7044          |
| 0.8143        | 20.0  | 1800 | 1.7180          |
| 0.6346        | 21.0  | 1890 | 1.7688          |
| 0.509         | 22.0  | 1980 | 1.8638          |
| 0.7174        | 23.0  | 2070 | 1.8140          |
| 0.6996        | 24.0  | 2160 | 1.8360          |
| 0.5699        | 25.0  | 2250 | 1.8854          |
| 0.667         | 26.0  | 2340 | 1.9072          |
| 0.657         | 27.0  | 2430 | 1.9244          |
| 0.5345        | 28.0  | 2520 | 1.9389          |
| 0.5607        | 29.0  | 2610 | 1.9305          |
| 0.5528        | 30.0  | 2700 | 1.9472          |
| 0.5348        | 31.0  | 2790 | 1.9645          |
| 0.5597        | 32.0  | 2880 | 1.9925          |
| 0.4532        | 33.0  | 2970 | 1.9802          |
| 0.5005        | 34.0  | 3060 | 1.9918          |
| 0.6786        | 35.0  | 3150 | 2.0009          |
| 0.7536        | 36.0  | 3240 | 2.0051          |
| 0.6406        | 37.0  | 3330 | 2.0132          |
| 0.5569        | 38.0  | 3420 | 2.0159          |
| 0.5349        | 39.0  | 3510 | 2.0256          |
| 0.5433        | 40.0  | 3600 | 2.0228          |
| 0.5307        | 41.0  | 3690 | 2.0267          |
| 0.491         | 42.0  | 3780 | 2.0255          |
| 0.6112        | 43.0  | 3870 | 2.0256          |
| 0.5487        | 44.0  | 3960 | 2.0260          |
| 0.4791        | 45.0  | 4050 | 2.0265          |
| 0.3844        | 46.0  | 4140 | 2.0265          |
| 0.4253        | 47.0  | 4230 | 2.0265          |
| 0.4563        | 48.0  | 4320 | 2.0278          |
| 0.6504        | 49.0  | 4410 | 2.0290          |
| 0.4971        | 50.0  | 4500 | 2.0279          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.1.0+cu118
- Datasets 2.19.2
- Tokenizers 0.19.1