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roberta-finetuned-WebClassification-v2-smalllinguaEN
mnavas/roberta-finetuned-WebClassification-v2-smalllinguaEN
roberta-finetuned-WebClassification-v2-smalllinguaEN is a text classification model from mnavas. 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
- May 5, 2023
- Updated
- May 5, 2023
- SHA
- 9be4aea1
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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. -->
roberta-finetuned-WebClassification-v2-smalllinguaEN
This model is a fine-tuned version of xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.5844
- Accuracy: 0.7143
- F1: 0.7143
- Precision: 0.7143
- Recall: 0.7143
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: 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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 7 | 2.3084 | 0.0714 | 0.0714 | 0.0714 | 0.0714 |
| No log | 2.0 | 14 | 2.2951 | 0.2857 | 0.2857 | 0.2857 | 0.2857 |
| No log | 3.0 | 21 | 2.2725 | 0.2143 | 0.2143 | 0.2143 | 0.2143 |
| No log | 4.0 | 28 | 2.0608 | 0.2143 | 0.2143 | 0.2143 | 0.2143 |
| No log | 5.0 | 35 | 1.8552 | 0.3571 | 0.3571 | 0.3571 | 0.3571 |
| No log | 6.0 | 42 | 1.6846 | 0.5714 | 0.5714 | 0.5714 | 0.5714 |
| No log | 7.0 | 49 | 1.5844 | 0.7143 | 0.7143 | 0.7143 | 0.7143 |
| No log | 8.0 | 56 | 1.4531 | 0.7143 | 0.7143 | 0.7143 | 0.7143 |
| No log | 9.0 | 63 | 1.3746 | 0.7143 | 0.7143 | 0.7143 | 0.7143 |
| No log | 10.0 | 70 | 1.3663 | 0.7143 | 0.7143 | 0.7143 | 0.7143 |
Framework versions
- Transformers 4.27.3
- Pytorch 2.0.0+cpu
- Datasets 2.10.1
- Tokenizers 0.13.2
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- May 5, 2023
- Updated
- May 5, 2023