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

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: 1.8715

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.7424        | 1.0   | 486   | 1.6914          |
| 1.301         | 2.0   | 972   | 1.6780          |
| 1.5718        | 3.0   | 1458  | 1.6743          |
| 1.6632        | 4.0   | 1944  | 1.6793          |
| 1.8588        | 5.0   | 2430  | 1.6794          |
| 1.5308        | 6.0   | 2916  | 1.6894          |
| 1.5776        | 7.0   | 3402  | 1.6985          |
| 1.6394        | 8.0   | 3888  | 1.7073          |
| 1.4696        | 9.0   | 4374  | 1.7187          |
| 1.4191        | 10.0  | 4860  | 1.7298          |
| 1.4776        | 11.0  | 5346  | 1.7414          |
| 1.4767        | 12.0  | 5832  | 1.7512          |
| 1.3546        | 13.0  | 6318  | 1.7731          |
| 1.542         | 14.0  | 6804  | 1.7610          |
| 1.3709        | 15.0  | 7290  | 1.7679          |
| 1.3167        | 16.0  | 7776  | 1.7936          |
| 1.3563        | 17.0  | 8262  | 1.8007          |
| 1.4615        | 18.0  | 8748  | 1.8008          |
| 1.511         | 19.0  | 9234  | 1.8068          |
| 1.3145        | 20.0  | 9720  | 1.8232          |
| 1.1285        | 21.0  | 10206 | 1.8204          |
| 1.5045        | 22.0  | 10692 | 1.8204          |
| 1.2697        | 23.0  | 11178 | 1.8453          |
| 1.302         | 24.0  | 11664 | 1.8386          |
| 1.4892        | 25.0  | 12150 | 1.8434          |
| 1.5042        | 26.0  | 12636 | 1.8471          |
| 1.1989        | 27.0  | 13122 | 1.8472          |
| 1.2353        | 28.0  | 13608 | 1.8545          |
| 1.145         | 29.0  | 14094 | 1.8560          |
| 1.4146        | 30.0  | 14580 | 1.8612          |
| 1.3598        | 31.0  | 15066 | 1.8611          |
| 1.2659        | 32.0  | 15552 | 1.8695          |
| 1.2085        | 33.0  | 16038 | 1.8631          |
| 1.0623        | 34.0  | 16524 | 1.8679          |
| 1.4594        | 35.0  | 17010 | 1.8694          |
| 1.3038        | 36.0  | 17496 | 1.8685          |
| 1.5902        | 37.0  | 17982 | 1.8695          |
| 1.2771        | 38.0  | 18468 | 1.8709          |
| 1.2738        | 39.0  | 18954 | 1.8698          |
| 1.3209        | 40.0  | 19440 | 1.8707          |
| 1.2578        | 41.0  | 19926 | 1.8709          |
| 1.1108        | 42.0  | 20412 | 1.8717          |
| 1.3264        | 43.0  | 20898 | 1.8711          |
| 1.3152        | 44.0  | 21384 | 1.8709          |
| 1.4287        | 45.0  | 21870 | 1.8709          |
| 1.299         | 46.0  | 22356 | 1.8709          |
| 1.2863        | 47.0  | 22842 | 1.8710          |
| 1.1795        | 48.0  | 23328 | 1.8716          |
| 1.27          | 49.0  | 23814 | 1.8719          |
| 1.3156        | 50.0  | 24300 | 1.8715          |


### Framework versions

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