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# ampadolphin-2-prompt-2

This model is a fine-tuned version of [cognitivecomputations/dolphin-2_6-phi-2](https://huggingface.co/cognitivecomputations/dolphin-2_6-phi-2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6597

## 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: 2
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 2
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 255  | 0.8074          |
| 0.9578        | 2.0   | 511  | 0.6906          |
| 0.9578        | 2.99  | 765  | 0.6597          |


### Framework versions

- PEFT 0.8.1
- Transformers 4.38.0.dev0
- Pytorch 2.0.0
- Datasets 2.16.0
- Tokenizers 0.15.1
{"license": "mit", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "cognitivecomputations/dolphin-2_6-phi-2", "model-index": [{"name": "ampadolphin-2-prompt-2", "results": []}]}
peft tensorboard safetensors trl sft generated_from_trainer base_model:cognitivecomputations/dolphin-2_6-phi-2 license:mit region:us