---
license: apache-2.0
base_model: mistralai/Mistral-7B-v0.1
tags:
- generated_from_trainer
model-index:
- name: out/Mistral-7B-sft-v1
  results: []
---

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should probably proofread and complete it, then remove this comment. -->

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# out/Mistral-7B-sft-v1

This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9216

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 10
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.0308        | 0.1   | 20   | 0.9749          |
| 0.9065        | 0.2   | 40   | 0.9535          |
| 0.9799        | 0.3   | 60   | 0.9446          |
| 1.2045        | 0.4   | 80   | 0.9390          |
| 0.9185        | 0.5   | 100  | 0.9332          |
| 0.9541        | 0.6   | 120  | 0.9282          |
| 1.0332        | 0.69  | 140  | 0.9252          |
| 1.0345        | 0.79  | 160  | 0.9229          |
| 1.0117        | 0.89  | 180  | 0.9217          |
| 1.0495        | 0.99  | 200  | 0.9216          |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.7
- Tokenizers 0.14.1