buddhilive commited on
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Training in progress epoch 0

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Files changed (3) hide show
  1. README.md +8 -7
  2. tf_model.h5 +1 -1
  3. tokenizer.json +16 -2
README.md CHANGED
@@ -15,7 +15,8 @@ probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [albert-base-v2](https://huggingface.co/albert-base-v2) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 2.7538
 
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  - Epoch: 0
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  ## Model description
@@ -35,19 +36,19 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - optimizer: {'inner_optimizer': {'class_name': 'AdamWeightDecay', 'config': {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 16635, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}}, 'dynamic': True, 'initial_scale': 32768.0, 'dynamic_growth_steps': 2000}
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- - training_precision: mixed_float16
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  ### Training results
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- | Train Loss | Epoch |
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- |:----------:|:-----:|
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- | 2.7538 | 0 |
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  ### Framework versions
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  - Transformers 4.33.1
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- - TensorFlow 2.12.0
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  - Datasets 2.14.5
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  - Tokenizers 0.13.3
 
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  This model is a fine-tuned version of [albert-base-v2](https://huggingface.co/albert-base-v2) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 1.5351
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+ - Validation Loss: 1.0064
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  - Epoch: 0
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  ## Model description
 
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - 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': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 500, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
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+ - training_precision: float32
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  ### Training results
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+ | Train Loss | Validation Loss | Epoch |
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+ |:----------:|:---------------:|:-----:|
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+ | 1.5351 | 1.0064 | 0 |
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  ### Framework versions
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  - Transformers 4.33.1
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+ - TensorFlow 2.13.0
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  - Datasets 2.14.5
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  - Tokenizers 0.13.3
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