<!-- 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. -->
twitter_empathy_Miles
This model is a fine-tuned version of bert-base-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1421
- Mse: 0.1421
- Mae: 0.2240
- R2: 0.0840
- Accuracy: 0.8190
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: 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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Mse | Mae | R2 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 125 | 0.1507 | 0.1507 | 0.2374 | 0.0279 | 0.8081 |
| No log | 2.0 | 250 | 0.1554 | 0.1554 | 0.2196 | -0.0018 | 0.8129 |
| No log | 3.0 | 375 | 0.1421 | 0.1421 | 0.2240 | 0.0840 | 0.8190 |
Framework versions
- Transformers 4.30.1
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
