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classification_test_14Dec – AI Model by am-infoweb | AlphaNeural AI
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classification_test_14Dec
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transformers
safetensors
longformer
text-classification
generated_from_trainer
allenai/longformer-base-4096
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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classification_test_14Dec
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: 0.2892
Accuracy: 0.9508
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: 2
eval_batch_size: 2
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.5775
1.0
3750
0.6166
0.902
0.3579
2.0
7500
0.4535
0.9228
0.2818
3.0
11250
0.4030
0.9336
0.1849
4.0
15000
0.3642
0.9408
0.0957
5.0
18750
0.2892
0.9508
Framework versions
Transformers 4.35.2
Pytorch 2.1.1+cu118
Datasets 2.15.0
Tokenizers 0.15.0
