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