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all-roberta-large-v1-utility-4-16-5 – AI Model by fathyshalab | AlphaNeural AI
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all-roberta-large-v1-utility-4-16-5
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transformers
pytorch
roberta
text-classification
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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all-roberta-large-v1-utility-4-16-5
This model is a fine-tuned version of
sentence-transformers/all-roberta-large-v1
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.3728
Accuracy: 0.3956
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: 5e-05
train_batch_size: 48
eval_batch_size: 48
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
Accuracy
2.8194
1.0
1
2.6027
0.3156
2.2337
2.0
2
2.5079
0.3778
1.7996
3.0
3
2.4293
0.3822
1.4591
4.0
4
2.3728
0.3956
1.3205
5.0
5
2.3439
0.3956
Framework versions
Transformers 4.20.0
Pytorch 1.11.0+cu102
Datasets 2.3.2
Tokenizers 0.12.1
