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---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: mistralai/Mistral-7B-v0.1
model-index:
- name: out
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. -->
# out
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: 4.3731
## 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: 0.0002
- 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: constant
- num_epochs: 20
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.8286 | 1.0 | 326 | 2.7831 |
| 1.7135 | 2.0 | 652 | 2.9345 |
| 0.5324 | 3.0 | 978 | 3.2704 |
| 0.6332 | 4.0 | 1304 | 3.5215 |
| 0.4136 | 5.0 | 1630 | 3.6194 |
| 0.6789 | 6.0 | 1956 | 4.0601 |
| 0.3095 | 7.0 | 2282 | 3.9619 |
| 0.2139 | 8.0 | 2608 | 4.2931 |
| 0.2027 | 9.0 | 2934 | 4.3885 |
| 0.1184 | 10.0 | 3260 | 4.2185 |
| 0.1612 | 11.0 | 3586 | 4.2801 |
| 0.2609 | 12.0 | 3912 | 4.4705 |
| 0.1564 | 13.0 | 4238 | 4.7184 |
| 0.2344 | 14.0 | 4564 | 4.3517 |
| 0.4565 | 15.0 | 4890 | 4.7181 |
| 0.1623 | 16.0 | 5216 | 4.7855 |
| 0.2934 | 17.0 | 5542 | 5.5058 |
| 0.1151 | 18.0 | 5868 | 4.6761 |
| 0.178 | 19.0 | 6194 | 5.0001 |
| 0.1595 | 20.0 | 6520 | 4.3731 |
### Framework versions
- PEFT 0.8.2
- Transformers 4.38.1
- Pytorch 2.0.1
- Datasets 2.17.1
- Tokenizers 0.15.2 |