metadata
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- becasv2
model-index:
- name: roberta-base-bne-ROBERTaBECAS
results: []
roberta-base-bne-ROBERTaBECAS
This model is a fine-tuned version of BSC-TeMU/roberta-base-bne on the becasv2 dataset. It achieves the following results on the evaluation set:
- Loss: 2.6448
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: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 5 | 3.5817 |
| No log | 2.0 | 10 | 2.9636 |
| No log | 3.0 | 15 | 2.6857 |
| No log | 4.0 | 20 | 2.6310 |
| No log | 5.0 | 25 | 2.6331 |
| No log | 6.0 | 30 | 2.6448 |
Framework versions
- Transformers 4.21.1
- Pytorch 1.9.0+cu111
- Datasets 2.4.0
- Tokenizers 0.12.1