CoolFace
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liqi6811/tBERT_AUD_USD_M15

sourceHugging Faceupdated 3y agoView on Hugging Face
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Model Card

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tBERTAUDUSD_M15

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset. It achieves the following results on the evaluation set:

  • —Train Loss: 0.3244
  • —Validation Loss: 1.7496
  • —Epoch: 30

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': 'AdamW', 'weightdecay': 0.004, 'clipnorm': None, 'globalclipnorm': None, 'clipvalue': None, 'useema': False, 'emamomentum': 0.99, 'emaoverwritefrequency': None, 'jitcompile': False, 'islegacyoptimizer': False, 'learningrate': 5e-05, 'beta1': 0.9, 'beta2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
  • —training_precision: float32

Training results

Train LossValidation LossEpoch
2.10931.63090
1.45721.35021
1.32451.30562
1.27751.26493
1.23441.24594
1.20581.23265
1.17521.22106
1.14341.20447
1.10591.19038
1.06791.18479
1.02901.180910
0.98941.181811
0.94971.184812
0.91001.194513
0.87011.205914
0.82851.207315
0.78451.216516
0.74261.234917
0.70281.259818
0.66471.290019
0.62681.325820
0.59031.353321
0.55461.401322
0.51981.442223
0.48651.475924
0.45491.535225
0.42521.578526
0.39751.625627
0.37071.666828
0.34731.698429
0.32441.749630

Framework versions

  • —Transformers 4.29.0.dev0
  • —TensorFlow 2.12.0
  • —Datasets 2.11.0
  • —Tokenizers 0.13.3