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roberta-base-bne-finetuned-Tass2020
guidoapy/roberta-base-bne-finetuned-Tass2020
roberta-base-bne-finetuned-Tass2020 is a machine learning model from guidoapy. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- License
- apache-2.0
- Model type
- roberta
- Access
- Public
- Created
- Aug 21, 2024
- Updated
- Aug 21, 2024
- SHA
- e0322b76
Base models
Model card
From the Hugging Face model README
<!-- 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-bne-finetuned-Tass2020
This model is a fine-tuned version of BSC-TeMU/roberta-base-bne on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.9967
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.7333 | 1.0 | 15 | 2.4729 |
| 2.2554 | 2.0 | 30 | 2.1943 |
| 2.1743 | 3.0 | 45 | 2.0038 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
- Type
- roberta
- License
- apache-2.0
- Created
- Aug 21, 2024
- Updated
- Aug 21, 2024