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roberta-large-finetuned-t_refund – AI Model by Gregorig | AlphaNeural AI
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Gregorig
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roberta-large-finetuned-t_refund
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transformers
tensorboard
safetensors
roberta
text-classification
generated_from_trainer
FacebookAI/roberta-large
finetune
mit
autotrain_compatible
endpoints_compatible
us
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roberta-large-finetuned-t_refund
This model is a fine-tuned version of
roberta-large
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.4479
Accuracy: 0.98
F1: 0.9809
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: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
0.7111
1.0
51
0.7356
0.915
0.9261
0.5228
2.0
102
0.4860
0.965
0.9686
0.1963
3.0
153
0.4479
0.98
0.9809
Framework versions
Transformers 4.41.2
Pytorch 2.3.0+cu121
Tokenizers 0.19.1
