metadata
library_name: transformers
license: apache-2.0
base_model: google-t5/t5-small
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: op_hunter_conservation_gc_function_t5_small
results: []
op_hunter_conservation_gc_function_t5_small
This model is a fine-tuned version of google-t5/t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3915
- Accuracy: 0.8465
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 |
|---|---|---|---|---|
| No log | 1.0 | 357 | 0.6829 | 0.5834 |
| 0.6954 | 2.0 | 714 | 0.5832 | 0.7296 |
| 0.6219 | 3.0 | 1071 | 0.5836 | 0.7065 |
| 0.6219 | 4.0 | 1428 | 0.5057 | 0.7515 |
| 0.4778 | 5.0 | 1785 | 0.4011 | 0.8331 |
| 0.4073 | 6.0 | 2142 | 0.3593 | 0.8575 |
| 0.4073 | 7.0 | 2499 | 0.3976 | 0.8441 |
| 0.3739 | 8.0 | 2856 | 0.3873 | 0.8465 |
| 0.3619 | 9.0 | 3213 | 0.4043 | 0.8465 |
| 0.3567 | 10.0 | 3570 | 0.4077 | 0.8417 |
| 0.3567 | 11.0 | 3927 | 0.3988 | 0.8380 |
| 0.3536 | 12.0 | 4284 | 0.3915 | 0.8441 |
| 0.3472 | 13.0 | 4641 | 0.3895 | 0.8441 |
| 0.3472 | 14.0 | 4998 | 0.3892 | 0.8441 |
| 0.3555 | 15.0 | 5355 | 0.3978 | 0.8453 |
| 0.3516 | 16.0 | 5712 | 0.3896 | 0.8477 |
| 0.3414 | 17.0 | 6069 | 0.3935 | 0.8490 |
| 0.3414 | 18.0 | 6426 | 0.3915 | 0.8465 |
Framework versions
- Transformers 4.48.2
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0