---
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_balanced
  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_balanced

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: 1.5766

## 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: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.6135        | 1.0   | 282  | 1.5535          |
| 1.7292        | 2.0   | 564  | 1.5380          |
| 1.502         | 3.0   | 846  | 1.5312          |
| 1.5672        | 4.0   | 1128 | 1.5347          |
| 1.3714        | 5.0   | 1410 | 1.5365          |
| 1.3268        | 6.0   | 1692 | 1.5415          |
| 1.6069        | 7.0   | 1974 | 1.5425          |
| 1.4057        | 8.0   | 2256 | 1.5483          |
| 1.3989        | 9.0   | 2538 | 1.5578          |
| 1.6766        | 10.0  | 2820 | 1.5601          |
| 1.4027        | 11.0  | 3102 | 1.5673          |
| 1.3554        | 12.0  | 3384 | 1.5703          |
| 1.3135        | 13.0  | 3666 | 1.5729          |
| 1.2954        | 14.0  | 3948 | 1.5745          |
| 1.2543        | 15.0  | 4230 | 1.5758          |
| 1.4603        | 16.0  | 4512 | 1.5763          |
| 1.2734        | 17.0  | 4794 | 1.5765          |
| 1.3247        | 18.0  | 5076 | 1.5764          |
| 1.2645        | 19.0  | 5358 | 1.5769          |
| 1.376         | 20.0  | 5640 | 1.5766          |


### Framework versions

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