ConvertedEmojiT5-fintuned_AppReviews_32ep_16batch
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: 3.9791
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: 2
- total_train_batch_size: 16
- 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 |
|---|---|---|---|
| 6.6857 | 1.0 | 50 | 5.6914 |
| 4.9072 | 2.0 | 100 | 4.8423 |
| 4.2961 | 3.0 | 150 | 4.4387 |
| 3.9418 | 4.0 | 200 | 4.1910 |
| 3.6765 | 5.0 | 250 | 4.0042 |
| 3.4515 | 6.0 | 300 | 3.9960 |
| 3.263 | 7.0 | 350 | 3.9411 |
| 3.0693 | 8.0 | 400 | 3.8980 |
| 2.8978 | 9.0 | 450 | 3.9415 |
| 2.7595 | 10.0 | 500 | 3.9412 |
| 2.6215 | 11.0 | 550 | 3.9791 |
Framework versions
- Transformers 4.38.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
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