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# Mistral-7b-chat-qlora-1101-1

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7074

## 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-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 16
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 0.01  | 1    | 2.2526          |
| 1.8343        | 0.2   | 40   | 1.8441          |
| 1.7498        | 0.4   | 80   | 1.7739          |
| 1.5686        | 0.61  | 120  | 1.7502          |
| 1.6592        | 0.81  | 160  | 1.7370          |
| 1.6683        | 1.01  | 200  | 1.7243          |
| 1.6878        | 1.21  | 240  | 1.7149          |
| 1.7036        | 1.41  | 280  | 1.7175          |
| 1.6212        | 1.62  | 320  | 1.7135          |
| 1.6921        | 1.82  | 360  | 1.7074          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.0.1+cu117
- Datasets 2.15.0
- Tokenizers 0.15.0

{"tags": ["generated_from_trainer"], "model-index": [{"name": "Mistral-7b-chat-qlora-1101-1", "results": []}]}
transformers safetensors mistral text-generation generated_from_trainer conversational autotrain_compatible endpoints_compatible text-generation-inference 8-bit region:us