Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
roberta-base-squad2-agric-170224 – AI Model by badokorach | AlphaNeural AI
You can deploy this model and start earning money today!
badokorach
/
roberta-base-squad2-agric-170224
like
0
transformers
tf
xlm-roberta
question-answering
generated_from_keras_callback
badokorach/roberta-base-squad2-agric-181223
finetune
mit
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
badokorach/roberta-base-squad2-agric-170224
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: 0.0090
Validation Loss: 0.0
Epoch: 4
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': True, 'is_legacy_optimizer': False, 'learning_rate': {'module': None, 'class_name': 'CustomLearningRateScheduler', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 2736, 'warmup_steps': 304, 'end_learning_rate': 1e-05}, 'registered_name': 'CustomLearningRateScheduler'}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
training_precision: mixed_float16
Training results
Train Loss
Validation Loss
Epoch
0.4458
0.0
0
0.0226
0.0
1
0.0144
0.0
2
0.0060
0.0
3
0.0090
0.0
4
Framework versions
Transformers 4.35.2
TensorFlow 2.15.0
Datasets 2.17.1
Tokenizers 0.15.2
