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distilroberta-base-mic-sym – AI Model by agi-css | AlphaNeural AI
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agi-css
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distilroberta-base-mic-sym
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transformers
pytorch
tensorboard
roberta
text-classification
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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distilroberta-base-mic-sym
This model is a fine-tuned version of
distilroberta-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0023
Accuracy: 0.9997
F1: 0.9997
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: 2.740146306575944e-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: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
No log
1.0
188
0.0049
0.9990
0.9990
No log
2.0
376
0.0023
0.9997
0.9997
Framework versions
Transformers 4.18.0
Pytorch 1.12.0.dev20220422+cu116
Datasets 2.1.0
Tokenizers 0.12.1
