ghc-google-t5-v1_1-xl-intra-frequency-model-cross-ent-batch-size
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- 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 |
|---|---|---|---|
| 0.3646 | 1.0 | 1378 | 0.3799 |
| 0.4395 | 2.0 | 2756 | 0.3616 |
| 0.0 | 3.0 | 4134 | nan |
| 0.0 | 4.0 | 5512 | nan |
| 0.0 | 5.0 | 6890 | nan |
Framework versions
- Transformers 4.34.0
- Pytorch 2.1.0+cu121
- Datasets 2.6.1
- Tokenizers 0.14.1
Model tree for owanr/ghc-google-t5-v1_1-xl-intra-frequency-model-cross-ent-batch-size
Base model
google/t5-v1_1-xl