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library_name: transformers
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
model-index:
- name: roberta-base-downstream-ecthr-b
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-downstream-ecthr-b
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: 0.1980
- Macro-f1: 0.7336
- Micro-f1: 0.7898
## 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: 16
- eval_batch_size: 16
- seed: 1
- distributed_type: multi-GPU
- num_devices: 2
- total_train_batch_size: 32
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20.0
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Macro-f1 | Micro-f1 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
| No log | 1.0 | 282 | 0.1975 | 0.6393 | 0.7408 |
| 0.1811 | 2.0 | 564 | 0.1954 | 0.6541 | 0.7559 |
| 0.1811 | 3.0 | 846 | 0.1786 | 0.7063 | 0.7833 |
| 0.1167 | 4.0 | 1128 | 0.1746 | 0.7304 | 0.7928 |
| 0.1167 | 5.0 | 1410 | 0.1818 | 0.7270 | 0.7936 |
| 0.0921 | 6.0 | 1692 | 0.1933 | 0.7235 | 0.7810 |
| 0.0921 | 7.0 | 1974 | 0.1901 | 0.7326 | 0.7852 |
| 0.0721 | 8.0 | 2256 | 0.1980 | 0.7336 | 0.7898 |
### Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
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