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roberta_ASE_kgl – AI Model by khadija69 | AlphaNeural AI
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khadija69
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roberta_ASE_kgl
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transformers
tf
xlm-roberta
token-classification
generated_from_keras_callback
FacebookAI/xlm-roberta-base
finetune
mit
autotrain_compatible
endpoints_compatible
us
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khadija69/roberta_ASE_kgl
This model is a fine-tuned version of
xlm-roberta-base
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 0.1987
Validation Loss: 0.3653
Epoch: 9
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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 1000, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
training_precision: float32
Training results
Train Loss
Validation Loss
Epoch
0.4777
0.3498
0
0.3292
0.3403
1
0.3056
0.3305
2
0.2796
0.3372
3
0.2624
0.3323
4
0.2468
0.3416
5
0.2277
0.3364
6
0.2141
0.3557
7
0.2057
0.3576
8
0.1987
0.3653
9
Framework versions
Transformers 4.39.3
TensorFlow 2.15.0
Datasets 2.18.0
Tokenizers 0.15.2
