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