metadata
license: apache-2.0
base_model: google/t5-v1_1-large
tags:
- generated_from_trainer
model-index:
- name: ghc-google-t5-v1_1-large-inter_model-dataset-frequency-human_annots_str
results: []
ghc-google-t5-v1_1-large-inter_model-dataset-frequency-human_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: 0.4160
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 |
|---|---|---|---|
| 2.5863 | 1.0 | 345 | 2.2862 |
| 1.9673 | 2.0 | 690 | 2.0705 |
| 1.7865 | 3.0 | 1035 | 1.8048 |
| 0.0714 | 4.0 | 1380 | 0.0459 |
| 0.0618 | 5.0 | 1725 | 0.0456 |
| 0.0596 | 6.0 | 2070 | 0.0476 |
| 0.0532 | 7.0 | 2415 | 0.0438 |
| 0.0503 | 8.0 | 2760 | 0.0405 |
| 0.048 | 9.0 | 3105 | 0.0377 |
| 0.0462 | 10.0 | 3450 | 0.0455 |
| 0.036 | 11.0 | 3795 | 0.0358 |
| 0.0447 | 12.0 | 4140 | 0.0355 |
| 0.0416 | 13.0 | 4485 | 0.0351 |
| 0.0413 | 14.0 | 4830 | 0.0331 |
| 0.0409 | 15.0 | 5175 | 0.0320 |
| 0.0411 | 16.0 | 5520 | 0.0333 |
| 0.0363 | 17.0 | 5865 | 0.0322 |
| 0.0378 | 18.0 | 6210 | 0.0329 |
| 0.0345 | 19.0 | 6555 | 0.0312 |
| 0.0328 | 20.0 | 6900 | 0.0311 |
| 0.0392 | 21.0 | 7245 | 0.0303 |
| 0.0392 | 22.0 | 7590 | 0.0296 |
| 0.0353 | 23.0 | 7935 | 0.0300 |
| 0.0331 | 24.0 | 8280 | 0.0299 |
| 0.0306 | 25.0 | 8625 | 0.0290 |
| 0.0313 | 26.0 | 8970 | 0.0294 |
| 0.0303 | 27.0 | 9315 | 0.0296 |
| 0.0378 | 28.0 | 9660 | 0.0292 |
| 0.0358 | 29.0 | 10005 | 0.0292 |
| 0.0328 | 30.0 | 10350 | 0.0292 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.1.0+cu121
- Datasets 2.14.5
- Tokenizers 0.14.1