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# mistral-7b-finetuned-ultrachat

This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8945

## 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: 2e-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.9863        | 0.28  | 10   | 0.9767          |
| 0.9689        | 0.56  | 20   | 0.9506          |
| 0.9305        | 0.84  | 30   | 0.9297          |
| 0.9296        | 1.11  | 40   | 0.9181          |
| 0.9087        | 1.39  | 50   | 0.9096          |
| 0.9085        | 1.67  | 60   | 0.9033          |
| 0.9078        | 1.95  | 70   | 0.8989          |
| 0.9003        | 2.23  | 80   | 0.8961          |
| 0.8966        | 2.51  | 90   | 0.8948          |
| 0.8985        | 2.79  | 100  | 0.8945          |


### Framework versions

- PEFT 0.7.2.dev0
- Transformers 4.37.0.dev0
- Pytorch 2.1.2
- Datasets 2.16.1
- Tokenizers 0.15.0
{"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "datasets": ["generator"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "mistral-7b-finetuned-ultrachat", "results": []}]}
peft safetensors generated_from_trainer dataset:generator base_model:mistralai/Mistral-7B-v0.1 license:apache-2.0 region:us