metadata
license: apache-2.0
base_model: google/t5-v1_1-large
tags:
- generated_from_trainer
model-index:
- name: SBIC-google-t5-v1_1-large-intra_model-dataset-frequency-model_annots_str
results: []
SBIC-google-t5-v1_1-large-intra_model-dataset-frequency-model_annots_str
This model is a fine-tuned version of google/t5-v1_1-large 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: 200
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 6.9506 | 1.0 | 392 | 7.3966 |
| 5.9108 | 2.0 | 784 | 6.2364 |
| 0.4499 | 3.0 | 1176 | 0.4162 |
| 0.4211 | 4.0 | 1568 | 0.4084 |
| 0.4066 | 5.0 | 1960 | 0.3981 |
| 0.4305 | 6.0 | 2352 | 0.4011 |
| 0.386 | 7.0 | 2744 | 0.4107 |
| 0.4028 | 8.0 | 3136 | 0.4002 |
| 0.4005 | 9.0 | 3528 | 0.3864 |
| 0.387 | 10.0 | 3920 | 0.3870 |
| 0.3903 | 11.0 | 4312 | 0.3876 |
| 0.3943 | 12.0 | 4704 | 0.3832 |
| 0.4032 | 13.0 | 5096 | 0.3837 |
| 0.3887 | 14.0 | 5488 | 0.3822 |
| 0.38 | 15.0 | 5880 | 0.3804 |
| 0.3982 | 16.0 | 6272 | 0.3781 |
| 0.3941 | 17.0 | 6664 | 0.3795 |
| 0.4079 | 18.0 | 7056 | 0.3783 |
| 0.3976 | 19.0 | 7448 | 0.3780 |
| 0.3705 | 20.0 | 7840 | 0.3764 |
| 0.3833 | 21.0 | 8232 | 0.3771 |
| 0.3835 | 22.0 | 8624 | 0.3752 |
| 0.3786 | 23.0 | 9016 | 0.3764 |
| 0.373 | 24.0 | 9408 | 0.3764 |
| 0.364 | 25.0 | 9800 | 0.3754 |
| 0.3807 | 26.0 | 10192 | 0.3756 |
| 0.3914 | 27.0 | 10584 | 0.3756 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.1.0+cu121
- Datasets 2.14.5
- Tokenizers 0.14.1