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Ksu246/
nolbert-classifier

Name: nolbert-classifier
Rating: 2.5 (5 reviews)

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nolbert-classifier

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

"LABEL_0": "NEUTRAL",
"LABEL_1": "POSITIVE"
"LABEL_2": "NEGATIVE"

More information needed

More information needed

The following hyperparameters were used during training:

learning_rate: 0.0001
train_batch_size: 16
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: 3

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
No log	1.0	191	0.5873	0.8294	0.8340	0.8294	0.8259
No log	2.0	382	0.3802	0.8441	0.8647	0.8441	0.8490
0.6357	3.0	573	0.3594	0.8735	0.8837	0.8735	0.8767