metadata

library_name: transformers
license: mit
base_model: chandar-lab/NeoBERT
tags:
  - generated_from_trainer
model-index:
  - name: NeoBERT_druglib_regression_6ep_5e-06lr_0.03wd_0.2wr_rocauc_oversample_v1
    results: []

NeoBERT_druglib_regression_6ep_5e-06lr_0.03wd_0.2wr_rocauc_oversample_v1

This model is a fine-tuned version of chandar-lab/NeoBERT on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.5216

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-06
train_batch_size: 8
eval_batch_size: 8
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_ratio: 0.2
num_epochs: 6
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.7329	1.0	311	0.7037
0.412	2.0	622	0.5042
0.4259	3.0	933	0.5356
0.1746	4.0	1244	0.5006
0.1065	5.0	1555	0.5534
0.0631	6.0	1866	0.5086

Framework versions

Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.3.1
Tokenizers 0.21.0