ConvertedEmojiT5-fintuned_AppReviews_32ep_32batch
This model is a fine-tuned version of maram00ali/CONVERTEDEmojiApp_Review_pretrained_T5_base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 4.0273
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 32
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 7.4502 | 1.0 | 25 | 6.3007 |
| 5.5964 | 2.0 | 50 | 5.4523 |
| 4.8087 | 3.0 | 75 | 4.8659 |
| 4.3828 | 4.0 | 100 | 4.6815 |
| 4.102 | 5.0 | 125 | 4.3381 |
| 3.8679 | 6.0 | 150 | 4.2251 |
| 3.6813 | 7.0 | 175 | 4.0646 |
| 3.5024 | 8.0 | 200 | 4.0713 |
| 3.3388 | 9.0 | 225 | 4.0704 |
| 3.2091 | 10.0 | 250 | 3.9759 |
| 3.0804 | 11.0 | 275 | 4.0273 |
| 2.9532 | 12.0 | 300 | 4.0427 |
| 2.847 | 13.0 | 325 | 4.0273 |
Framework versions
- Transformers 4.38.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
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