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roberta-base-finetuned-autext23
andricValdez/roberta-base-finetuned-autext23
roberta-base-finetuned-autext23 is a machine learning model from andricValdez. 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 mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- License
- mit
- Model type
- roberta
- Access
- Public
- Created
- Oct 5, 2024
- Updated
- Oct 5, 2024
- SHA
- 344ef05e
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-finetuned-autext23
This model is a fine-tuned version of FacebookAI/roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8207
- Accuracy: 0.8974
- F1: 0.8965
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: 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| No log | 1.0 | 1481 | 0.4639 | 0.8465 | 0.8434 |
| 0.2315 | 2.0 | 2962 | 0.4168 | 0.8984 | 0.8976 |
| 0.2315 | 3.0 | 4443 | 0.8183 | 0.8660 | 0.8639 |
| 0.0657 | 4.0 | 5924 | 0.8570 | 0.8788 | 0.8772 |
| 0.0657 | 5.0 | 7405 | 0.8207 | 0.8974 | 0.8965 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
- Type
- roberta
- License
- mit
- Created
- Oct 5, 2024
- Updated
- Oct 5, 2024