MSBD commited on
Commit
ef1fc72
1 Parent(s): fdaeedc

Training in progress epoch 0

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Files changed (6) hide show
  1. README.md +9 -4
  2. special_tokens_map.json +7 -0
  3. tf_model.h5 +1 -1
  4. tokenizer.json +0 -0
  5. tokenizer_config.json +13 -0
  6. vocab.txt +0 -0
README.md CHANGED
@@ -3,18 +3,20 @@ license: apache-2.0
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  tags:
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  - generated_from_keras_callback
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  model-index:
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- - name: bert-finetuned-orquac
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information Keras had access to. You should
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  probably proofread and complete it, then remove this comment. -->
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- # bert-finetuned-orquac
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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-
 
 
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  ## Model description
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@@ -33,11 +35,14 @@ 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': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 7473, '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}
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  - training_precision: mixed_float16
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  ### Training results
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  ### Framework versions
 
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  tags:
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  - generated_from_keras_callback
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  model-index:
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+ - name: MSBD/bert-finetuned-orquac
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information Keras had access to. You should
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  probably proofread and complete it, then remove this comment. -->
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+ # MSBD/bert-finetuned-orquac
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-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: 2.8318
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+ - Validation Loss: 4.1895
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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': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 7857, '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}
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  - training_precision: mixed_float16
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  ### Training results
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+ | Train Loss | Validation Loss | Epoch |
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+ |:----------:|:---------------:|:-----:|
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+ | 2.8318 | 4.1895 | 0 |
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  ### Framework versions
special_tokens_map.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
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+ {
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+ "cls_token": "[CLS]",
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+ "mask_token": "[MASK]",
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+ "pad_token": "[PAD]",
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+ "sep_token": "[SEP]",
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+ "unk_token": "[UNK]"
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+ }
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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  version https://git-lfs.github.com/spec/v1
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- oid sha256:c8a6edaca57b96b39592de3a3b0cd9add7fb9a4e786745b71f2c60f7795ff08e
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  size 435842000
 
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  version https://git-lfs.github.com/spec/v1
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  size 435842000
tokenizer.json ADDED
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tokenizer_config.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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_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": "BertTokenizer",
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+ "unk_token": "[UNK]"
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+ }
vocab.txt ADDED
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