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# relation_extraction_roberta_base

This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.5120
- F1: 0.4292

## 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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 2.8498        | 1.0   | 107  | 2.6698          | 0.0540 |
| 2.4514        | 2.0   | 214  | 2.2383          | 0.1557 |
| 2.0199        | 3.0   | 321  | 1.9596          | 0.2756 |
| 1.6452        | 4.0   | 428  | 1.9246          | 0.3251 |
| 1.2583        | 5.0   | 535  | 1.9095          | 0.3797 |
| 0.9493        | 6.0   | 642  | 2.2248          | 0.3964 |
| 0.6915        | 7.0   | 749  | 2.1882          | 0.4008 |
| 0.4993        | 8.0   | 856  | 2.3672          | 0.4258 |
| 0.354         | 9.0   | 963  | 2.5120          | 0.4292 |
| 0.262         | 10.0  | 1070 | 2.5574          | 0.4290 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0

{"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "roberta-base", "model-index": [{"name": "relation_extraction_roberta_base", "results": []}]}
transformers tensorboard safetensors roberta generated_from_trainer base_model:roberta-base license:mit endpoints_compatible region:us