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xlm-roberta-base-english-sentweet-derogatory
jayanta/xlm-roberta-base-english-sentweet-derogatory
xlm-roberta-base-english-sentweet-derogatory is a text classification model from jayanta. 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
- xlm-roberta
- Access
- Public
- Created
- May 31, 2023
- Updated
- May 31, 2023
- SHA
- 31014c79
Try a prompt
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. -->
xlm-roberta-base-english-sentweet-derogatory
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: 0.6089
- Accuracy: 0.8125
- Precision: 0.8214
- Recall: 0.8214
- F1: 0.8125
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 81 | 0.4374 | 0.8090 | 0.8268 | 0.8212 | 0.8088 |
| No log | 2.0 | 162 | 0.5010 | 0.8125 | 0.8250 | 0.8229 | 0.8125 |
| No log | 3.0 | 243 | 0.5245 | 0.8056 | 0.8180 | 0.8159 | 0.8055 |
| No log | 4.0 | 324 | 0.4806 | 0.8090 | 0.8156 | 0.8168 | 0.8090 |
| No log | 5.0 | 405 | 0.5957 | 0.7986 | 0.7998 | 0.8030 | 0.7983 |
| No log | 6.0 | 486 | 0.6089 | 0.8125 | 0.8214 | 0.8214 | 0.8125 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.13.1+cu117
- Datasets 2.6.1
- Tokenizers 0.11.0
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- May 31, 2023
- Updated
- May 31, 2023