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IceBERT-finetuned-iec-sentence-bs16 – AI Model by vesteinn | AlphaNeural AI
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IceBERT-finetuned-iec-sentence-bs16
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transformers
pytorch
safetensors
roberta
text-classification
generated_from_trainer
vesteinn/IceBERT
finetune
gpl-3.0
autotrain_compatible
endpoints_compatible
us
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IceBERT-finetuned-iec-sentence-bs16
This model is a fine-tuned version of
vesteinn/IceBERT
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.2508
Matthews Correlation: 0.8169
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: 16
eval_batch_size: 16
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
0.5278
1.0
3640
0.4777
0.5396
0.4648
2.0
7280
0.3886
0.6437
0.3807
3.0
10920
0.3478
0.7060
0.3061
4.0
14560
0.2523
0.8083
0.2477
5.0
18200
0.2508
0.8169
Framework versions
Transformers 4.12.3
Pytorch 1.8.0
Datasets 1.15.1
Tokenizers 0.10.3
