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# mistral7b-sharded-finetune-v02-15-12-23

This model is a fine-tuned version of [filipealmeida/Mistral-7B-Instruct-v0.1-sharded](https://huggingface.co/filipealmeida/Mistral-7B-Instruct-v0.1-sharded) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6360

## 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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- training_steps: 2500
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.2358        | 0.07  | 100  | 0.9831          |
| 0.8642        | 0.14  | 200  | 0.8056          |
| 0.7985        | 0.21  | 300  | 0.7710          |
| 0.7652        | 0.28  | 400  | 0.7572          |
| 0.7553        | 0.35  | 500  | 0.7369          |
| 0.7306        | 0.42  | 600  | 0.7226          |
| 0.7245        | 0.5   | 700  | 0.7107          |
| 0.7094        | 0.57  | 800  | 0.7006          |
| 0.6905        | 0.64  | 900  | 0.6918          |
| 0.7043        | 0.71  | 1000 | 0.6825          |
| 0.6945        | 0.78  | 1100 | 0.6752          |
| 0.6953        | 0.85  | 1200 | 0.6691          |
| 0.6886        | 0.92  | 1300 | 0.6643          |
| 0.6578        | 0.99  | 1400 | 0.6579          |
| 0.5995        | 1.06  | 1500 | 0.6562          |
| 0.6121        | 1.13  | 1600 | 0.6508          |
| 0.6302        | 1.2   | 1700 | 0.6453          |
| 0.6329        | 1.27  | 1800 | 0.6415          |
| 0.6061        | 1.34  | 1900 | 0.6404          |
| 0.6321        | 1.42  | 2000 | 0.6391          |
| 0.6198        | 1.49  | 2100 | 0.6373          |
| 0.5865        | 1.56  | 2200 | 0.6369          |
| 0.6279        | 1.63  | 2300 | 0.6362          |
| 0.5896        | 1.7   | 2400 | 0.6361          |
| 0.6052        | 1.77  | 2500 | 0.6360          |


### Framework versions

- PEFT 0.7.1
- Transformers 4.37.0.dev0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.15.0
{"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "filipealmeida/Mistral-7B-Instruct-v0.1-sharded", "model-index": [{"name": "mistral7b-sharded-finetune-v02-15-12-23", "results": []}]}
peft tensorboard safetensors generated_from_trainer base_model:filipealmeida/Mistral-7B-Instruct-v0.1-sharded license:apache-2.0 region:us