TCFD-Bert – AI Model by doanmgd | AlphaNeural AI

You can deploy this model and start earning money today!

doanmgd/
TCFD-Bert

like

0

text-classification

generated_from_trainer

distilbert/distilbert-base-uncased

autotrain_compatible

endpoints_compatible

Views

No views yet

TCFD-Bert

This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.6350
Accuracy: 0.825
F1: 0.8214

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: 32
eval_batch_size: 32
seed: 42
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: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
1.4062	1.0	45	1.0888	0.65	0.5877
0.9397	2.0	90	0.7605	0.72	0.6675
0.6364	3.0	135	0.6306	0.76	0.7407
0.4503	4.0	180	0.6293	0.77	0.7724
0.3122	5.0	225	0.5822	0.825	0.8192
0.2167	6.0	270	0.6071	0.805	0.7946
0.1638	7.0	315	0.6133	0.81	0.8049
0.1167	8.0	360	0.6112	0.81	0.8087
0.091	9.0	405	0.6396	0.82	0.8101
0.0793	10.0	450	0.6350	0.825	0.8214

Framework versions

Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 2.14.4
Tokenizers 0.21.1