Sentiment-google-t5-v1_1-xl-intra-frequency-model-cross-ent
This model is a fine-tuned version of google/t5-v1_1-xl on the None dataset. It achieves the following results on the evaluation set:
- Loss: nan
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: 0.0001
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 5.3391 | 1.0 | 176 | 5.1797 |
| 5.2012 | 2.0 | 352 | 5.1797 |
| 5.1715 | 3.0 | 528 | nan |
| 0.0 | 4.0 | 704 | nan |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
Model tree for owanr/Sentiment-google-t5-v1_1-xl-intra-frequency-model-cross-ent
Base model
google/t5-v1_1-xl