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tc_ro_chainsdel – AI Model by syabusyabu0141 | AlphaNeural AI
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syabusyabu0141
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tc_ro_chainsdel
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transformers
tf
roberta
token-classification
generated_from_keras_callback
FacebookAI/roberta-base
finetune
mit
autotrain_compatible
endpoints_compatible
us
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syabusyabu0141/tc_ro_chainsdel
This model is a fine-tuned version of
roberta-base
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 0.0356
Validation Loss: 0.0373
Epoch: 1
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:
optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 1e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
training_precision: float32
Training results
Train Loss
Validation Loss
Epoch
0.0686
0.0416
0
0.0356
0.0373
1
Framework versions
Transformers 4.35.2
TensorFlow 2.14.0
Datasets 2.14.7
Tokenizers 0.15.0
