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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 |