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roberta-base-finetuned-autext23_sub2
andricValdez/roberta-base-finetuned-autext23_sub2
roberta-base-finetuned-autext23_sub2 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 15, 2024
- Updated
- Oct 15, 2024
- SHA
- e8d87994
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_sub2
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: 1.1781
- Accuracy: 0.5674
- F1: 0.5609
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 | 981 | 1.2714 | 0.4761 | 0.4576 |
| 1.0626 | 2.0 | 1962 | 0.9718 | 0.5601 | 0.5461 |
| 1.0626 | 3.0 | 2943 | 1.0096 | 0.5692 | 0.5522 |
| 0.6738 | 4.0 | 3924 | 1.1058 | 0.5670 | 0.5500 |
| 0.6738 | 5.0 | 4905 | 1.1781 | 0.5674 | 0.5609 |
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 15, 2024
- Updated
- Oct 15, 2024