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xlm-roberta-base-finetuned-mlqa-Mixed-AGRIC – AI Model by badokorach | AlphaNeural AI
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badokorach
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xlm-roberta-base-finetuned-mlqa-Mixed-AGRIC
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transformers
tf
xlm-roberta
question-answering
generated_from_keras_callback
badokorach/roberta-base-squad2-agric-181223
finetune
mit
endpoints_compatible
us
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badokorach/xlm-roberta-base-finetuned-mlqa-Mixed-AGRIC
This model is a fine-tuned version of
badokorach/roberta-base-squad2-agric-181223
on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 1.7330
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': 2220, '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
2.8883
0.0
0
2.6908
0.0
1
2.5937
0.0
2
2.5252
0.0
3
2.4397
0.0
4
2.3188
0.0
5
2.1666
0.0
6
2.0118
0.0
7
1.8718
0.0
8
1.7330
0.0
9
Framework versions
Transformers 4.35.2
TensorFlow 2.15.0
Datasets 2.16.1
Tokenizers 0.15.1
