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saya_test_sentiment
wnic00/saya_test_sentiment
saya_test_sentiment is a text classification model from wnic00. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- xlm-roberta
- Access
- Public
- Created
- Dec 5, 2023
- Updated
- Dec 6, 2023
- SHA
- cda896fd
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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. -->
saya_test_sentiment
This model is a fine-tuned version of citizenlab/twitter-xlm-roberta-base-sentiment-finetunned on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0331
- Accuracy: 0.7103
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: 0.0001
- 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 |
|---|---|---|---|---|
| 0.8304 | 1.0 | 1648 | 0.7680 | 0.6720 |
| 0.6984 | 2.0 | 3296 | 0.7300 | 0.6951 |
| 0.5579 | 3.0 | 4944 | 0.7874 | 0.7094 |
| 0.4007 | 4.0 | 6592 | 0.8602 | 0.7024 |
| 0.2745 | 5.0 | 8240 | 1.0331 | 0.7103 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cpu
- Datasets 2.14.4
- Tokenizers 0.13.0
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- Created
- Dec 5, 2023
- Updated
- Dec 6, 2023