---
license: apache-2.0
base_model: mistralai/Mistral-7B-v0.1
tags:
- generated_from_trainer
model-index:
- name: results
  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. -->

# results

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: 0.3201

## 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: 2.5e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 18
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- training_steps: 1000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.523         | 0.57  | 50   | 0.4759          |
| 0.3823        | 1.14  | 100  | 0.3920          |
| 0.2682        | 1.71  | 150  | 0.3688          |
| 0.2163        | 2.29  | 200  | 0.3362          |
| 0.2021        | 2.86  | 250  | 0.3052          |
| 0.1349        | 3.43  | 300  | 0.3103          |
| 0.1325        | 4.0   | 350  | 0.2974          |
| 0.0982        | 4.57  | 400  | 0.3052          |
| 0.0859        | 5.14  | 450  | 0.3038          |
| 0.0687        | 5.71  | 500  | 0.3213          |
| 0.0658        | 6.29  | 550  | 0.3206          |
| 0.0597        | 6.86  | 600  | 0.3420          |
| 0.0469        | 7.43  | 650  | 0.3252          |
| 0.0576        | 8.0   | 700  | 0.3330          |
| 0.0435        | 8.57  | 750  | 0.3123          |
| 0.044         | 9.14  | 800  | 0.3577          |
| 0.0412        | 9.71  | 850  | 0.3274          |
| 0.0372        | 10.29 | 900  | 0.3509          |
| 0.0369        | 10.86 | 950  | 0.3436          |
| 0.0324        | 11.43 | 1000 | 0.3201          |


### Framework versions

- Transformers 4.36.0.dev0
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0