
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# output-7B-instr-1.5-our-data

This model is a fine-tuned version of [deepseek-ai/deepseek-coder-7b-instruct-v1.5](https://huggingface.co/deepseek-ai/deepseek-coder-7b-instruct-v1.5) on the None dataset.

## 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: 0.0001
- train_batch_size: 4
- eval_batch_size: 8
- 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: linear
- num_epochs: 1

### Training results



### Framework versions

- Transformers 4.35.2
- Pytorch 2.0.0.post200
- Datasets 2.10.1
- Tokenizers 0.15.1

{"license": "other", "tags": ["generated_from_trainer"], "base_model": "deepseek-ai/deepseek-coder-7b-instruct-v1.5", "model-index": [{"name": "output-7B-instr-1.5-our-data", "results": []}]}
transformers tensorboard safetensors llama text-generation generated_from_trainer conversational base_model:deepseek-ai/deepseek-coder-7b-instruct-v1.5 license:other autotrain_compatible endpoints_compatible text-generation-inference region:us