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Eje2 – AI Model by IsraelRam | AlphaNeural AI
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IsraelRam
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Eje2
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transformers
pytorch
roberta
text-classification
generated_from_trainer
glue
distilbert/distilroberta-base
finetune
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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Eje2
This model is a fine-tuned version of
distilroberta-base
on the glue dataset. It achieves the following results on the evaluation set:
Loss: 0.7123
Accuracy: 0.8358
F1: 0.8862
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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
0.5337
1.09
500
0.3729
0.8480
0.8877
0.3434
2.18
1000
0.7123
0.8358
0.8862
Framework versions
Transformers 4.33.2
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3