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# my_awesome_unixcoder_2

This model is a fine-tuned version of [microsoft/unixcoder-base](https://huggingface.co/microsoft/unixcoder-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0088
- F1: 0.5926

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.0118        | 1.0   | 1671 | 0.0114          | 0.5385 |
| 0.0063        | 2.0   | 3342 | 0.0088          | 0.5926 |
| 0.0019        | 3.0   | 5013 | 0.0102          | 0.6897 |


### Framework versions

- Transformers 4.35.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.7
- Tokenizers 0.14.1

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "microsoft/unixcoder-base", "model-index": [{"name": "my_awesome_unixcoder_2", "results": []}]}
transformers tensorboard safetensors roberta text-classification generated_from_trainer base_model:microsoft/unixcoder-base license:apache-2.0 autotrain_compatible endpoints_compatible region:us