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me_sentiment_L1
This model is a fine-tuned version of cardiffnlp/twitter-roberta-base-sentiment-latest on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0520
- Accuracy: 0.5264
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: 1e-05
- train_batch_size: 64
- eval_batch_size: 64
- 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 |
|---|---|---|---|---|
| No log | 1.0 | 174 | 1.0177 | 0.4590 |
| No log | 2.0 | 348 | 0.9973 | 0.4931 |
| 0.9982 | 3.0 | 522 | 0.9555 | 0.5053 |
| 0.9982 | 4.0 | 696 | 0.9679 | 0.5077 |
| 0.9982 | 5.0 | 870 | 0.9899 | 0.5215 |
| 0.849 | 6.0 | 1044 | 0.9978 | 0.5142 |
| 0.849 | 7.0 | 1218 | 1.0280 | 0.5297 |
| 0.849 | 8.0 | 1392 | 1.0329 | 0.5264 |
| 0.7443 | 9.0 | 1566 | 1.0451 | 0.5248 |
| 0.7443 | 10.0 | 1740 | 1.0520 | 0.5264 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cpu
- Datasets 2.14.5
- Tokenizers 0.14.0
