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# phi_1_5_instruct

This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/microsoft/phi-1_5) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.0658

## 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: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- training_steps: 250
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.3786        | 0.08  | 50   | 2.4137          |
| 2.077         | 0.17  | 100  | 2.4228          |
| 1.5849        | 0.25  | 150  | 2.5601          |
| 1.0458        | 0.34  | 200  | 2.8175          |
| 0.6774        | 0.42  | 250  | 3.0658          |


### Framework versions

- Transformers 4.36.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "other", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-1_5", "model-index": [{"name": "phi_1_5_instruct", "results": []}]}
transformers tensorboard safetensors phi text-generation generated_from_trainer conversational custom_code base_model:microsoft/phi-1_5 license:other autotrain_compatible endpoints_compatible region:us