jhu-clsp_mmBERT-small_ep10_lr0.0001_batchpergpu16_gpu1 – AI Model by NiGuLa | AlphaNeural AI

You can deploy this model and start earning money today!

NiGuLa/
jhu-clsp_mmBERT-small_ep10_lr0.0001_batchpergpu16_gpu1

like

0

text-classification

generated_from_trainer

jhu-clsp/mmBERT-small

text-embeddings-inference

endpoints_compatible

Views

No views yet

jhu-clsp_mmBERT-small_ep10_lr0.0001_batchpergpu16_gpu1

This model is a fine-tuned version of jhu-clsp/mmBERT-small on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.2421
F1 Micro: 0.6356
F1 Macro: 0.3475
Exact Match: 0.6383

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: 0.0001
train_batch_size: 16
eval_batch_size: 16
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	F1 Micro	F1 Macro	Exact Match
0.1822	0.9924	131	0.2307	0.5930	0.1300	0.5322
0.1576	1.9848	262	0.1664	0.6456	0.2354	0.6648
0.1081	2.9773	393	0.2037	0.6379	0.2025	0.6591
0.0776	3.9697	524	0.2421	0.6356	0.3475	0.6383

Framework versions

Transformers 5.6.2
Pytorch 2.11.0+cu130
Datasets 4.8.4
Tokenizers 0.22.2