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roberta-base-5-epochs-fine-tune
xshubhamx/roberta-base-5-epochs-fine-tune
roberta-base-5-epochs-fine-tune is a text classification model from xshubhamx. 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
- Apr 7, 2024
- Updated
- Apr 7, 2024
- SHA
- 986d8021
Try a prompt
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-5-epochs-fine-tune
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8677
- Accuracy: 1
- F1 Micro: 1
- F1 Macro: 1
- F1 Weighted: 1
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: 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Micro | F1 Macro | F1 Weighted |
|---|---|---|---|---|---|---|---|
| 1.4717 | 1.0 | 643 | 0.9450 | 1 | 1 | 1 | 1 |
| 0.8913 | 2.0 | 1286 | 0.8093 | 1 | 1 | 1 | 1 |
| 0.7203 | 3.0 | 1929 | 0.8571 | 1 | 1 | 1 | 1 |
| 0.406 | 4.0 | 2572 | 0.8221 | 1 | 1 | 1 | 1 |
| 0.2692 | 5.0 | 3215 | 0.8677 | 1 | 1 | 1 | 1 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Apr 7, 2024
- Updated
- Apr 7, 2024