metadata
base_model: EuropeanParliament/EUBERT
tags:
- generated_from_trainer
model-index:
- name: eubert_covid_ft
results: []
eubert_covid_ft
This model is a fine-tuned version of EuropeanParliament/EUBERT on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0191
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: 2e-05
- train_batch_size: 8
- 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 |
|---|---|---|---|
| 1.2428 | 1.0 | 4152 | 1.1584 |
| 1.129 | 2.0 | 8304 | 1.0547 |
| 1.086 | 3.0 | 12456 | 1.0227 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1