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# finetune_deepspeed_deepseek

This model is a fine-tuned version of [deepseek-ai/deepseek-coder-6.7b-instruct](https://huggingface.co/deepseek-ai/deepseek-coder-6.7b-instruct) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2710

## 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: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- total_train_batch_size: 2
- 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: 0.03
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.1916        | 1.0   | 3118  | 0.2853          |
| 0.1433        | 2.0   | 6236  | 0.2517          |
| 0.1178        | 3.0   | 9354  | 0.2448          |
| 0.0663        | 4.0   | 12472 | 0.2210          |
| 0.0523        | 5.0   | 15590 | 0.2212          |
| 0.0443        | 6.0   | 18708 | 0.2265          |
| 0.0404        | 7.0   | 21826 | 0.2336          |
| 0.0351        | 8.0   | 24944 | 0.2447          |
| 0.0294        | 9.0   | 28062 | 0.2642          |
| 0.0307        | 10.0  | 31180 | 0.2710          |


### Framework versions

- Transformers 4.37.0.dev0
- Pytorch 2.1.2
- Datasets 2.16.0
- Tokenizers 0.15.0

{"license": "other", "tags": ["generated_from_trainer"], "base_model": "deepseek-ai/deepseek-coder-6.7b-instruct", "model-index": [{"name": "finetune_deepspeed_deepseek", "results": []}]}
transformers safetensors llama text-generation generated_from_trainer base_model:deepseek-ai/deepseek-coder-6.7b-instruct license:other autotrain_compatible endpoints_compatible text-generation-inference region:us