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# peft-lora-zencoder15B-personal-copilot

This model is a fine-tuned version of [bigcode/starcoder](https://huggingface.co/bigcode/starcoder) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3124

## 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 30
- training_steps: 1000

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.7534        | 0.1   | 100  | 0.4016          |
| 0.6715        | 0.2   | 200  | 0.3700          |
| 0.5283        | 0.3   | 300  | 0.3647          |
| 0.574         | 0.4   | 400  | 0.3388          |
| 0.5841        | 0.5   | 500  | 0.3193          |
| 0.5268        | 0.6   | 600  | 0.3202          |
| 0.5043        | 0.7   | 700  | 0.3124          |
| 0.4981        | 0.8   | 800  | 0.3138          |
| 0.4995        | 0.9   | 900  | 0.3126          |
| 0.4779        | 1.0   | 1000 | 0.3124          |


### Framework versions

- PEFT 0.7.2.dev0
- Transformers 4.37.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
{"license": "bigcode-openrail-m", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "bigcode/starcoder", "model-index": [{"name": "peft-lora-zencoder15B-personal-copilot", "results": []}]}
peft tensorboard safetensors generated_from_trainer base_model:bigcode/starcoder license:bigcode-openrail-m region:us