metadata
library_name: transformers
license: apache-2.0
base_model: google-t5/t5-small
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: conservation_gc_function_family_codon_t5
results: []
conservation_gc_function_family_codon_t5
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: 0.3097
- Accuracy: 0.8770
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: 4
- eval_batch_size: 4
- 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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6013 | 1.0 | 2688 | 0.4384 | 0.8356 |
| 0.5395 | 2.0 | 5376 | 0.2775 | 0.8916 |
| 0.5037 | 3.0 | 8064 | 0.2963 | 0.8855 |
| 0.5185 | 4.0 | 10752 | 0.2837 | 0.8867 |
| 0.5101 | 5.0 | 13440 | 0.2957 | 0.8904 |
| 0.5156 | 6.0 | 16128 | 0.2789 | 0.8928 |
| 0.4973 | 7.0 | 18816 | 0.2800 | 0.8904 |
| 0.5134 | 8.0 | 21504 | 0.2989 | 0.8806 |
| 0.5041 | 9.0 | 24192 | 0.3031 | 0.8758 |
| 0.5341 | 10.0 | 26880 | 0.3097 | 0.8770 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 3.4.1
- Tokenizers 0.21.1