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# distilroberta-rbm231k-ep20-op40-news_api_2p8k

This model is a fine-tuned version of [judy93536/distilroberta-rbm231k-ep20-op40](https://huggingface.co/judy93536/distilroberta-rbm231k-ep20-op40) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3991
- Accuracy: 0.8946

## 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: 2.153335054745316e-06
- 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
- lr_scheduler_warmup_ratio: 0.4
- num_epochs: 30
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 143  | 1.0982          | 0.3480   |
| No log        | 2.0   | 286  | 1.0901          | 0.3480   |
| No log        | 3.0   | 429  | 1.0754          | 0.3937   |
| 1.089         | 4.0   | 572  | 1.0446          | 0.4218   |
| 1.089         | 5.0   | 715  | 0.9983          | 0.4587   |
| 1.089         | 6.0   | 858  | 0.9316          | 0.5395   |
| 0.9811        | 7.0   | 1001 | 0.8240          | 0.6696   |
| 0.9811        | 8.0   | 1144 | 0.6669          | 0.7909   |
| 0.9811        | 9.0   | 1287 | 0.5055          | 0.8366   |
| 0.9811        | 10.0  | 1430 | 0.4123          | 0.8541   |
| 0.6112        | 11.0  | 1573 | 0.3531          | 0.8717   |
| 0.6112        | 12.0  | 1716 | 0.3399          | 0.8682   |
| 0.6112        | 13.0  | 1859 | 0.3304          | 0.8787   |
| 0.3218        | 14.0  | 2002 | 0.3270          | 0.8840   |
| 0.3218        | 15.0  | 2145 | 0.3201          | 0.8805   |
| 0.3218        | 16.0  | 2288 | 0.3276          | 0.8910   |
| 0.3218        | 17.0  | 2431 | 0.3326          | 0.8787   |
| 0.222         | 18.0  | 2574 | 0.3442          | 0.8928   |
| 0.222         | 19.0  | 2717 | 0.3456          | 0.8893   |
| 0.222         | 20.0  | 2860 | 0.3515          | 0.8893   |
| 0.1698        | 21.0  | 3003 | 0.3660          | 0.8893   |
| 0.1698        | 22.0  | 3146 | 0.3723          | 0.8928   |
| 0.1698        | 23.0  | 3289 | 0.3732          | 0.8928   |
| 0.1698        | 24.0  | 3432 | 0.3786          | 0.8928   |
| 0.1347        | 25.0  | 3575 | 0.3910          | 0.8963   |
| 0.1347        | 26.0  | 3718 | 0.3894          | 0.8963   |
| 0.1347        | 27.0  | 3861 | 0.3881          | 0.8981   |
| 0.1177        | 28.0  | 4004 | 0.3898          | 0.8981   |
| 0.1177        | 29.0  | 4147 | 0.3988          | 0.8946   |
| 0.1177        | 30.0  | 4290 | 0.3991          | 0.8946   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "judy93536/distilroberta-rbm231k-ep20-op40", "model-index": [{"name": "distilroberta-rbm231k-ep20-op40-news_api_2p8k", "results": []}]}
transformers safetensors roberta text-classification generated_from_trainer base_model:judy93536/distilroberta-rbm231k-ep20-op40 license:apache-2.0 autotrain_compatible endpoints_compatible region:us