---
library_name: transformers
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
model-index:
- name: roberta-base-ECB-dapt
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# roberta-base-ECB-dapt

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: 1.9623

## 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: 3e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 40.2248       | 0.2690 | 150  | 2.3196          |
| 38.1977       | 0.5381 | 300  | 2.1706          |
| 36.8653       | 0.8071 | 450  | 2.1671          |
| 35.4280       | 1.0753 | 600  | 2.1277          |
| 35.2623       | 1.3444 | 750  | 2.0359          |
| 35.0369       | 1.6134 | 900  | 2.0045          |
| 34.3773       | 1.8824 | 1050 | 2.0329          |
| 34.1305       | 2.1507 | 1200 | 1.9814          |
| 33.9732       | 2.4197 | 1350 | 1.9703          |
| 33.9225       | 2.6887 | 1500 | 1.9592          |
| 33.9132       | 2.9577 | 1650 | 1.9181          |


### Framework versions

- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 5.0.0
- Tokenizers 0.22.2