assignment4_ModernBertLarge_clinc – AI Model by Maziger1 | AlphaNeural AI

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assignment4_ModernBertLarge_clinc

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text-classification

generated_from_trainer

answerdotai/ModernBERT-large

text-embeddings-inference

endpoints_compatible

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assignment4_ModernBertLarge_clinc

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

Loss: 0.1646
Accuracy: 0.9723
F1: 0.9720

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: 3e-05
train_batch_size: 32
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
1.9174	0.4193	200	0.3720	0.9081	0.9075
0.2511	0.8386	400	0.2528	0.9484	0.9481
0.1067	1.2579	600	0.2138	0.9539	0.9532
0.0554	1.6771	800	0.1951	0.9581	0.9573
0.0488	2.0964	1000	0.1656	0.9694	0.9689
0.0163	2.5157	1200	0.1596	0.9726	0.9722
0.01	2.9350	1400	0.1666	0.9742	0.9739
0.0035	3.3543	1600	0.1614	0.9739	0.9736
0.0013	3.7736	1800	0.1646	0.9723	0.9720

Framework versions

Transformers 4.57.1
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1