transformers safetensors mistral text-generation trl sft generated_from_trainer base_model:mistralai/Mistral-7B-v0.1 license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
---
license: apache-2.0
base_model: mistralai/Mistral-7B-v0.1
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: 500STEPS_1e5rate_Mistral_SFT
  results: []
---

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# 500STEPS_1e5rate_Mistral_SFT

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: 0.3056

## 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: 1e-05
- train_batch_size: 4
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- training_steps: 500

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.4023        | 0.1   | 50   | 0.3896          |
| 0.4307        | 0.2   | 100  | 0.5254          |
| 0.4229        | 0.29  | 150  | 0.3821          |
| 0.3898        | 0.39  | 200  | 0.4135          |
| 0.368         | 0.49  | 250  | 0.3505          |
| 0.3431        | 0.59  | 300  | 0.3352          |
| 0.3225        | 0.68  | 350  | 0.3216          |
| 0.3085        | 0.78  | 400  | 0.3110          |
| 0.2743        | 0.88  | 450  | 0.3061          |
| 0.3065        | 0.98  | 500  | 0.3056          |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.0.0+cu117
- Datasets 2.17.0
- Tokenizers 0.15.1
