<!-- 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. -->
me_sentiment_L2
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: 1.0755
- Accuracy: 0.43
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 | 15 | 1.0679 | 0.36 |
| No log | 2.0 | 30 | 1.0362 | 0.44 |
| No log | 3.0 | 45 | 1.0054 | 0.43 |
| No log | 4.0 | 60 | 1.0118 | 0.41 |
| No log | 5.0 | 75 | 1.0386 | 0.44 |
| No log | 6.0 | 90 | 1.0373 | 0.45 |
| No log | 7.0 | 105 | 1.0540 | 0.41 |
| No log | 8.0 | 120 | 1.0639 | 0.43 |
| No log | 9.0 | 135 | 1.0732 | 0.43 |
| No log | 10.0 | 150 | 1.0755 | 0.43 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cpu
- Datasets 2.14.5
- Tokenizers 0.14.0
