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roberta-baseB_10epoch
dianamihalache27/roberta-baseB_10epoch
roberta-baseB_10epoch is a text classification model from dianamihalache27. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- roberta
- Access
- Public
- Created
- Jun 6, 2024
- Updated
- Jun 6, 2024
- SHA
- fa506a61
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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-baseB_10epoch
This model is a fine-tuned version of FacebookAI/roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1305
- Accuracy: 0.8379
- Precision: 0.0983
- Recall: 0.0258
- F1: 0.0355
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: 5e-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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 217 | 0.1250 | 0.8571 | 0.0 | 0.0 | 0.0 |
| No log | 2.0 | 434 | 0.1276 | 0.8571 | 0.0 | 0.0 | 0.0 |
| 0.1727 | 3.0 | 651 | 0.1281 | 0.8571 | 0.0 | 0.0 | 0.0 |
| 0.1727 | 4.0 | 868 | 0.1275 | 0.8571 | 0.0 | 0.0 | 0.0 |
| 0.1577 | 5.0 | 1085 | 0.1296 | 0.8571 | 0.0 | 0.0 | 0.0 |
| 0.1577 | 6.0 | 1302 | 0.1265 | 0.8571 | 0.0 | 0.0 | 0.0 |
| 0.1533 | 7.0 | 1519 | 0.1329 | 0.8529 | 0.0 | 0.0 | 0.0 |
| 0.1533 | 8.0 | 1736 | 0.1268 | 0.8486 | 0.0604 | 0.0037 | 0.0070 |
| 0.1533 | 9.0 | 1953 | 0.1292 | 0.8414 | 0.0789 | 0.0148 | 0.0221 |
| 0.1432 | 10.0 | 2170 | 0.1305 | 0.8379 | 0.0983 | 0.0258 | 0.0355 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Jun 6, 2024
- Updated
- Jun 6, 2024