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roberta-base-agric-trans-290124 – AI Model by badokorach | AlphaNeural AI
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badokorach
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roberta-base-agric-trans-290124
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transformers
tf
xlm-roberta
question-answering
generated_from_keras_callback
badokorach/xlm-roberta-base-finetuned-mlqa
finetune
mit
endpoints_compatible
us
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badokorach/roberta-base-agric-trans-290124
This model is a fine-tuned version of
badokorach/xlm-roberta-base-finetuned-mlqa
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 0.7363
Validation Loss: 0.0
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': 460, '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': 0.02}
training_precision: mixed_float16
Training results
Train Loss
Validation Loss
Epoch
2.5938
0.0
0
1.9052
0.0
1
1.5963
0.0
2
1.3926
0.0
3
1.1800
0.0
4
1.0988
0.0
5
0.9305
0.0
6
0.8714
0.0
7
0.7785
0.0
8
0.7363
0.0
9
Framework versions
Transformers 4.35.2
TensorFlow 2.15.0
Datasets 2.16.1
Tokenizers 0.15.1
