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---
base_model: mistralai/Mistral-7B-v0.1
library_name: peft
license: apache-2.0
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: lc_v7_select
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_v7_select
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: 1.3328
## 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: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.4231 | 1.0 | 297 | 1.3575 |
| 1.2756 | 2.0 | 594 | 1.3408 |
| 1.2876 | 3.0 | 891 | 1.3342 |
| 1.2691 | 4.0 | 1188 | 1.3322 |
| 1.239 | 5.0 | 1485 | 1.3334 |
| 1.2492 | 6.0 | 1782 | 1.3324 |
| 1.3679 | 7.0 | 2079 | 1.3325 |
| 1.3518 | 8.0 | 2376 | 1.3329 |
| 1.2306 | 9.0 | 2673 | 1.3333 |
| 1.2744 | 10.0 | 2970 | 1.3328 |
### Framework versions
- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.1.0+cu118
- Datasets 2.20.0
- Tokenizers 0.19.1 |