masked-lm-tpu / README.md
Ryukijano's picture
Training in progress epoch 15
853a72a
|
raw
history blame
No virus
3.01 kB
metadata
license: mit
base_model: roberta-base
tags:
  - generated_from_keras_callback
model-index:
  - name: Ryukijano/masked-lm-tpu
    results: []

Ryukijano/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: 7.9065
  • Train Accuracy: 0.0231
  • Validation Loss: 7.8661
  • Validation Accuracy: 0.0221
  • Epoch: 15

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': {'class_name': 'WarmUp', 'config': {'initial_learning_rate': 0.0001, 'decay_schedule_fn': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 0.0001, 'decay_steps': 111625, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'passive_serialization': True}, 'warmup_steps': 5875, 'power': 1.0, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.001}
  • training_precision: float32

Training results

Train Loss Train Accuracy Validation Loss Validation Accuracy Epoch
10.2437 0.0000 10.1909 0.0000 0
10.1151 0.0001 9.9763 0.0016 1
9.8665 0.0107 9.6535 0.0215 2
9.5331 0.0230 9.2992 0.0223 3
9.2000 0.0231 8.9944 0.0222 4
8.9195 0.0229 8.7450 0.0224 5
8.6997 0.0231 8.6124 0.0219 6
8.5689 0.0229 8.4904 0.0222 7
8.4525 0.0230 8.3865 0.0223 8
8.3594 0.0230 8.3069 0.0221 9
8.2662 0.0231 8.2092 0.0224 10
8.1956 0.0231 8.1208 0.0222 11
8.1285 0.0229 8.0806 0.0219 12
8.0345 0.0234 8.0030 0.0220 13
7.9960 0.0228 7.9144 0.0224 14
7.9065 0.0231 7.8661 0.0221 15

Framework versions

  • Transformers 4.32.1
  • TensorFlow 2.12.0
  • Tokenizers 0.13.3