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xlm-roberta-base-finetuned – AI Model by EricPeter | AlphaNeural AI
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EricPeter
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xlm-roberta-base-finetuned
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transformers
tf
xlm-roberta
question-answering
generated_from_keras_callback
FacebookAI/xlm-roberta-base
finetune
mit
endpoints_compatible
us
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EricPeter/xlm-roberta-base-finetuned
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: 5.9607
Epoch: 7
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': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': False, 'is_legacy_optimizer': False, 'learning_rate': 2e-05, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
training_precision: mixed_float16
Training results
Train Loss
Epoch
4.3219
0
2.5545
1
2.1750
2
1.9064
3
1.5885
4
1.3327
5
3.0905
6
5.9607
7
Framework versions
Transformers 4.31.0
TensorFlow 2.12.0
Datasets 2.14.0
Tokenizers 0.13.3
