roberta-base-biomed-myers-briggs-classifier

This model is a fine-tuned version of allenai/biomed_roberta_base on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.0001

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: 5e-05
• train_batch_size: 8
• eval_batch_size: 4
• seed: 42
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss
2.1171	1.0	868	2.1020
1.9553	2.0	1736	1.7631
1.8516	3.0	2604	1.5863
1.5528	4.0	3472	1.1517
1.0896	5.0	4340	0.8395
0.8676	6.0	5208	0.5463
0.813	7.0	6076	0.3515
0.9052	8.0	6944	0.2478
0.4102	9.0	7812	0.1674
0.4672	10.0	8680	0.1310
0.3296	11.0	9548	0.0990
0.364	12.0	10416	0.0778
0.1635	13.0	11284	0.0473
0.1695	14.0	12152	0.0223
0.0506	15.0	13020	0.0127
0.0004	16.0	13888	0.0088
0.0907	17.0	14756	0.0075
0.1488	18.0	15624	0.0001
0.0023	19.0	16492	0.0001
0.0004	20.0	17360	0.0001

Framework versions

• Transformers 4.46.3
• Pytorch 2.5.1+cu121
• Datasets 3.2.0
• Tokenizers 0.20.3