Upload config
Browse files- config.json +11 -12
config.json
CHANGED
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@@ -1,7 +1,7 @@
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{
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"_name_or_path": "cointegrated/rubert-tiny2",
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"architectures": [
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"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": null,
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@@ -11,20 +11,20 @@
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"hidden_dropout_prob": 0.1,
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"hidden_size": 312,
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"id2label": {
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"0": "
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"1": "
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"2": "
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"3": "
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"4": "
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},
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"initializer_range": 0.02,
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"intermediate_size": 600,
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"label2id": {
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"
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"
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"
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"
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"
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},
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 2048,
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@@ -33,7 +33,6 @@
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"num_hidden_layers": 3,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"problem_type": "single_label_classification",
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"torch_dtype": "float32",
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"transformers_version": "4.30.2",
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"type_vocab_size": 2,
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{
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"_name_or_path": "cointegrated/rubert-tiny2",
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"architectures": [
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"BertForPreTraining"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": null,
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"hidden_dropout_prob": 0.1,
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"hidden_size": 312,
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"id2label": {
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"0": "a5",
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"1": "b3",
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"2": "e3",
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"3": "e4",
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"4": "e5"
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},
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"initializer_range": 0.02,
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"intermediate_size": 600,
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"label2id": {
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"a5": 0,
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"b3": 1,
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"e3": 2,
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"e4": 3,
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"e5": 4
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},
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 2048,
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"num_hidden_layers": 3,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"torch_dtype": "float32",
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"transformers_version": "4.30.2",
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"type_vocab_size": 2,
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