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# opus-em-roberta-large

This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6933
- F1: 0.3341

## 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: 16
- eval_batch_size: 8
- 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     |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 0.6998        | 1.0   | 10000 | 0.6933          | 0.3341 |
| 0.6936        | 2.0   | 20000 | 0.6934          | 0.3326 |
| 0.6947        | 3.0   | 30000 | 0.6933          | 0.3341 |


### Framework versions

- Transformers 4.33.3
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3

{"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "roberta-large", "model-index": [{"name": "opus-em-roberta-large", "results": []}]}
transformers pytorch roberta text-classification generated_from_trainer base_model:roberta-large license:mit autotrain_compatible endpoints_compatible region:us