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mbordes/masked-lm-tpu

sourceHugging Facemitupdated 3y agoView on Hugging Face

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mbordes/masked-lm-tpu

This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:

—Train Loss: 9.8611
—Train Accuracy: 0.0090
—Validation Loss: 9.7448
—Validation Accuracy: 0.0214
—Epoch: 8

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', 'learningrate': {'classname': 'WarmUp', 'config': {'initiallearningrate': 0.0001, 'decayschedulefn': {'classname': 'PolynomialDecay', 'config': {'initiallearningrate': 0.0001, 'decaysteps': 22325, 'endlearningrate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, '_passiveserialization_': True}, 'warmupsteps': 1175, 'power': 1.0, 'name': None}}, 'decay': 0.0, 'beta1': 0.9, 'beta2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weightdecayrate': 0.001}
—training_precision: float32

Training results

Train Loss	Train Accuracy	Validation Loss	Validation Accuracy	Epoch
10.1794	0.0	10.1765	0.0	0
10.1802	0.0	10.1664	0.0	1
10.1601	0.0	10.1314	0.0	2
10.1402	0.0	10.0929	0.0000	3
10.0994	0.0000	10.0454	0.0000	4
10.0484	0.0000	9.9790	0.0003	5
9.9974	0.0003	9.9065	0.0025	6
9.9256	0.0023	9.8325	0.0130	7
9.8611	0.0090	9.7448	0.0214	8

Framework versions

—Transformers 4.33.1
—TensorFlow 2.12.0
—Tokenizers 0.13.3