classification_test_24Jan – AI Model by am-infoweb | AlphaNeural AI

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am-infoweb/
classification_test_24Jan

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text-classification

generated_from_trainer

allenai/longformer-base-4096

autotrain_compatible

endpoints_compatible

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classification_test_24Jan

This model is a fine-tuned version of allenai/longformer-base-4096 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.2570
Accuracy: 0.9687

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: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.5747	1.0	1318	0.2918	0.9311
0.3317	2.0	2636	0.2456	0.9459
0.2215	3.0	3954	0.2050	0.9550
0.1525	4.0	5272	0.2775	0.9590
0.0977	5.0	6590	0.2771	0.9585
0.0899	6.0	7908	0.2663	0.9613
0.082	7.0	9226	0.2500	0.9636
0.0698	8.0	10544	0.2939	0.9607
0.0287	9.0	11862	0.2668	0.9653
0.0417	10.0	13180	0.2570	0.9687

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.0