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# distilroberta-rb156k-opt15-ep40-phrase5k

This model is a fine-tuned version of [judy93536/distilroberta-rb156k-opt15-ep40](https://huggingface.co/judy93536/distilroberta-rb156k-opt15-ep40) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1386
- Accuracy: 0.9570

## 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: 8.103335054745316e-06
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.28
- num_epochs: 6
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 125  | 0.7446          | 0.6887   |
| No log        | 2.0   | 250  | 0.2143          | 0.9289   |
| No log        | 3.0   | 375  | 0.1347          | 0.9520   |
| 0.4344        | 4.0   | 500  | 0.1324          | 0.9550   |
| 0.4344        | 5.0   | 625  | 0.1352          | 0.9560   |
| 0.4344        | 6.0   | 750  | 0.1386          | 0.9570   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.14.7
- Tokenizers 0.15.0

{"tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "judy93536/distilroberta-rb156k-opt15-ep40", "model-index": [{"name": "distilroberta-rb156k-opt15-ep40-phrase5k", "results": []}]}
transformers safetensors roberta text-classification generated_from_trainer base_model:judy93536/distilroberta-rb156k-opt15-ep40 autotrain_compatible endpoints_compatible region:us