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all-roberta-large-v1-small_talk-4-16-5 – AI Model by fathyshalab | AlphaNeural AI
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all-roberta-large-v1-small_talk-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-small_talk-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: 2.3566
Accuracy: 0.3855
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
2.7259
1.0
1
2.5917
0.2551
2.217
2.0
2
2.5059
0.3275
1.7237
3.0
3
2.4355
0.3768
1.4001
4.0
4
2.3837
0.3739
1.1937
5.0
5
2.3566
0.3855
Framework versions
Transformers 4.20.0
Pytorch 1.11.0+cu102
Datasets 2.3.2
Tokenizers 0.12.1
