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---
base_model: EuropeanParliament/EUBERT
tags:
- generated_from_trainer
model-index:
- name: eubert_covid_ft
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. -->
# eubert_covid_ft
This model is a fine-tuned version of [EuropeanParliament/EUBERT](https://huggingface.co/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
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