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roberta-base-finetuned-cola – AI Model by hjimenez32 | AlphaNeural AI
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hjimenez32
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roberta-base-finetuned-cola
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transformers
safetensors
roberta
text-classification
generated_from_trainer
FacebookAI/roberta-base
finetune
mit
autotrain_compatible
endpoints_compatible
us
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roberta-base-finetuned-cola
This model is a fine-tuned version of
FacebookAI/roberta-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.5110
Matthews Correlation: 0.4972
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: 400
eval_batch_size: 400
seed: 42
optimizer: Use 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: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Matthews Correlation
No log
1.0
22
0.5762
0.0
No log
2.0
44
0.5773
0.4181
No log
3.0
66
0.5555
0.4415
No log
4.0
88
0.4980
0.5146
No log
5.0
110
0.5110
0.4972
Framework versions
Transformers 4.53.1
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.2
