Tao1217 commited on
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Training in progress epoch 0

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Files changed (3) hide show
  1. README.md +4 -4
  2. tf_model.h5 +1 -1
  3. tokenizer_config.json +1 -3
README.md CHANGED
@@ -15,8 +15,8 @@ probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 2.4444
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- - Validation Loss: 1.8918
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  - Epoch: 0
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  ## Model description
@@ -36,14 +36,14 @@ 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: {'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': False, '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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- | 2.4444 | 1.8918 | 0 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 3.3942
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+ - Validation Loss: 1.9672
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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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+ | 3.3942 | 1.9672 | 0 |
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  ### Framework versions
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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tokenizer_config.json CHANGED
@@ -43,15 +43,13 @@
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  },
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  "clean_up_tokenization_spaces": true,
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  "cls_token": "[CLS]",
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- "do_basic_tokenize": true,
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  "do_lower_case": true,
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  "mask_token": "[MASK]",
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  "model_max_length": 512,
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- "never_split": null,
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  "pad_token": "[PAD]",
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  "sep_token": "[SEP]",
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  "strip_accents": null,
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  "tokenize_chinese_chars": true,
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- "tokenizer_class": "BertTokenizer",
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  "unk_token": "[UNK]"
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  }
 
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  },
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  "clean_up_tokenization_spaces": true,
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  "cls_token": "[CLS]",
 
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  "do_lower_case": true,
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  "mask_token": "[MASK]",
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  "model_max_length": 512,
 
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  "pad_token": "[PAD]",
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  "sep_token": "[SEP]",
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  "strip_accents": null,
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  "tokenize_chinese_chars": true,
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+ "tokenizer_class": "DistilBertTokenizer",
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  "unk_token": "[UNK]"
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  }