metadata
library_name: transformers
license: apache-2.0
base_model: google-t5/t5-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: new_conservation_function_gc_t5s
results: []
new_conservation_function_gc_t5s
This model is a fine-tuned version of google-t5/t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4022
- Accuracy: 0.8502
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 0
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: polynomial
- num_epochs: 18
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6694 | 1.0 | 672 | 0.4546 | 0.7125 |
| 0.5677 | 2.0 | 1344 | 0.3559 | 0.8465 |
| 0.5224 | 3.0 | 2016 | 0.3574 | 0.8477 |
| 0.5101 | 4.0 | 2688 | 0.4000 | 0.8331 |
| 0.5004 | 5.0 | 3360 | 0.3912 | 0.8368 |
| 0.4943 | 6.0 | 4032 | 0.3519 | 0.8648 |
| 0.4784 | 7.0 | 4704 | 0.3866 | 0.8477 |
| 0.4802 | 8.0 | 5376 | 0.3642 | 0.8380 |
| 0.4764 | 9.0 | 6048 | 0.3746 | 0.8538 |
| 0.4641 | 10.0 | 6720 | 0.3513 | 0.8697 |
| 0.4558 | 11.0 | 7392 | 0.3634 | 0.8733 |
| 0.4573 | 12.0 | 8064 | 0.3683 | 0.8660 |
| 0.4465 | 13.0 | 8736 | 0.4003 | 0.8502 |
| 0.4466 | 14.0 | 9408 | 0.3966 | 0.8514 |
| 0.4367 | 15.0 | 10080 | 0.3889 | 0.8538 |
| 0.4332 | 16.0 | 10752 | 0.3867 | 0.8587 |
| 0.4303 | 17.0 | 11424 | 0.4083 | 0.8477 |
| 0.4298 | 18.0 | 12096 | 0.4022 | 0.8502 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.0
- Tokenizers 0.21.0