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IceBERT-finetuned-iec-sentence – AI Model by vesteinn | AlphaNeural AI
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IceBERT-finetuned-iec-sentence
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transformers
pytorch
safetensors
roberta
text-classification
generated_from_trainer
gpl-3.0
autotrain_compatible
endpoints_compatible
us
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IceBERT-finetuned-iec-sentence
This model is a fine-tuned version of
vesteinn/IceBERT
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.4438
Matthews Correlation: 0.6062
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: 128
eval_batch_size: 128
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
Matthews Correlation
No log
1.0
455
0.5283
0.4755
0.5696
2.0
910
0.4889
0.5272
0.4898
3.0
1365
0.4508
0.5793
0.4508
4.0
1820
0.4340
0.6042
0.4153
5.0
2275
0.4438
0.6062
Framework versions
Transformers 4.12.3
Pytorch 1.8.0
Datasets 1.15.1
Tokenizers 0.10.3
