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rtmex23-pol2-ptl_v5
javilonso/rtmex23-pol2-ptl_v5
rtmex23-pol2-ptl_v5 is a text classification model from javilonso. Use it when you need a label for a piece of text. It is set up for transformers. 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
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- roberta
- Access
- Public
- Created
- May 15, 2023
- Updated
- May 15, 2023
- SHA
- 471af8fc
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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. -->
rtmex23-pol2-ptl_v5
This model is a fine-tuned version of PlanTL-GOB-ES/roberta-base-bne on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9794
- F1: 0.8604
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: 2.5e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.6419 | 1.0 | 17996 | 0.5762 | 0.7539 |
| 0.3916 | 2.0 | 35992 | 0.4623 | 0.8186 |
| 0.2182 | 3.0 | 53988 | 0.6224 | 0.8508 |
| 0.0796 | 4.0 | 71984 | 0.9794 | 0.8604 |
Framework versions
- Transformers 4.29.1
- Pytorch 1.13.1
- Datasets 2.12.0
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- apache-2.0
- Created
- May 15, 2023
- Updated
- May 15, 2023