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# finetune_deepspeed_deepseek_7_exp_1_2_quick

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: 0.8270

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.1499        | 1.0   | 1408  | 1.0154          |
| 0.0965        | 2.0   | 2816  | 0.8349          |
| 0.0839        | 3.0   | 4224  | 0.8211          |
| 0.0442        | 4.0   | 5632  | 0.7380          |
| 0.0289        | 5.0   | 7040  | 0.7813          |
| 0.0234        | 6.0   | 8448  | 0.7389          |
| 0.0179        | 7.0   | 9856  | 0.7645          |
| 0.0144        | 8.0   | 11264 | 0.8256          |
| 0.0115        | 9.0   | 12672 | 0.8181          |
| 0.0114        | 10.0  | 14080 | 0.8270          |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.1.2
- Datasets 2.15.0
- Tokenizers 0.13.3

{"license": "other", "tags": ["generated_from_trainer"], "base_model": "deepseek-ai/deepseek-coder-6.7b-instruct", "model-index": [{"name": "finetune_deepspeed_deepseek_7_exp_1_2_quick", "results": []}]}
transformers pytorch 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