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# outputs

This model is a fine-tuned version of [alexsherstinsky/Mistral-7B-v0.1-sharded](https://huggingface.co/alexsherstinsky/Mistral-7B-v0.1-sharded) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5527

## 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: 5e-06
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.6694        | 0.59  | 50   | 0.6315          |
| 0.5594        | 1.18  | 100  | 0.5652          |
| 0.5449        | 1.77  | 150  | 0.5527          |


### Framework versions

- PEFT 0.8.2
- Transformers 4.38.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
{"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "alexsherstinsky/Mistral-7B-v0.1-sharded", "model-index": [{"name": "outputs", "results": []}]}
peft tensorboard safetensors generated_from_trainer base_model:alexsherstinsky/Mistral-7B-v0.1-sharded license:apache-2.0 region:us