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Upload TFRobertaForSequenceClassification

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Files changed (3) hide show
  1. README.md +1 -1
  2. config.json +3 -3
  3. tf_model.h5 +1 -1
README.md CHANGED
@@ -41,7 +41,7 @@ The following hyperparameters were used during training:
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  ### Framework versions
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- - Transformers 4.27.4
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  - TensorFlow 2.12.0
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  - Datasets 2.11.0
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  - Tokenizers 0.13.3
 
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  ### Framework versions
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+ - Transformers 4.28.1
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  - TensorFlow 2.12.0
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  - Datasets 2.11.0
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  - Tokenizers 0.13.3
config.json CHANGED
@@ -3,13 +3,13 @@
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  "architectures": [
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  "RobertaForSequenceClassification"
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  ],
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- "attention_probs_dropout_prob": 0.1,
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  "bos_token_id": 0,
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  "classifier_dropout": null,
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  "eos_token_id": 2,
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  "gradient_checkpointing": false,
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  "hidden_act": "gelu",
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- "hidden_dropout_prob": 0.1,
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  "hidden_size": 768,
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  "id2label": {
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  "0": "LABEL_0",
@@ -36,7 +36,7 @@
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  "position_embedding_type": "absolute",
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  "problem_type": "multi_label_classification",
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  "torch_dtype": "float32",
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- "transformers_version": "4.27.4",
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  "type_vocab_size": 1,
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  "use_cache": true,
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  "vocab_size": 30000
 
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  "architectures": [
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  "RobertaForSequenceClassification"
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  ],
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+ "attention_probs_dropout_prob": 0.2,
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  "bos_token_id": 0,
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  "classifier_dropout": null,
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  "eos_token_id": 2,
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  "gradient_checkpointing": false,
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  "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.2,
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  "hidden_size": 768,
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  "id2label": {
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  "0": "LABEL_0",
 
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  "position_embedding_type": "absolute",
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  "problem_type": "multi_label_classification",
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  "torch_dtype": "float32",
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+ "transformers_version": "4.28.1",
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  "type_vocab_size": 1,
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  "use_cache": true,
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  "vocab_size": 30000
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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  version https://git-lfs.github.com/spec/v1
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  size 435453760
 
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  version https://git-lfs.github.com/spec/v1
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  size 435453760