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roberta-base-finetuned-cola – AI Model by zack-paperspace | AlphaNeural AI
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zack-paperspace
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roberta-base-finetuned-cola
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transformers
pytorch
optimum_graphcore
roberta
text-classification
generated_from_trainer
glue
mit
autotrain_compatible
endpoints_compatible
us
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roberta-base-finetuned-cola
This model is a fine-tuned version of
roberta-base
on the glue dataset. It achieves the following results on the evaluation set:
Loss: 0.5732
Matthews Correlation: 0.6495
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: 1
eval_batch_size: 1
seed: 42
distributed_type: IPU
gradient_accumulation_steps: 16
total_train_batch_size: 16
total_eval_batch_size: 5
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
training precision: Mixed Precision
Training results
Training Loss
Epoch
Step
Validation Loss
Matthews Correlation
0.5211
1.0
534
0.4031
0.5599
0.3739
2.0
1068
0.4688
0.5713
0.0697
3.0
1602
0.4988
0.6070
0.0712
4.0
2136
0.5596
0.6221
0.0955
5.0
2670
0.5732
0.6495
Framework versions
Transformers 4.20.1
Pytorch 1.10.0+cpu
Datasets 2.8.0
Tokenizers 0.12.1
