Update to smaller bert model, improves performance a lot
Browse files- config.json +353 -159
- model.safetensors +2 -2
- tokenizer_config.json +1 -1
- training_args.bin +1 -1
config.json
CHANGED
@@ -1,5 +1,5 @@
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{
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"_name_or_path": "google/bert_uncased_L-8_H-
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"architectures": [
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"Hydra"
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],
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"classifier_dropout": null,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size":
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"id2label": null,
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"initializer_range": 0.02,
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"intermediate_size":
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"label2id": null,
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"label_groups": [
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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": 512,
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"model_type": "
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"num_attention_heads":
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"num_hidden_layers": 8,
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"num_labels": 2,
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"pad_token_id": 0,
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{
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+
"_name_or_path": "google/bert_uncased_L-8_H-128_A-2",
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"architectures": [
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"Hydra"
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],
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"classifier_dropout": null,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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+
"hidden_size": 128,
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"id2label": null,
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"initializer_range": 0.02,
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"intermediate_size": 512,
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"label2id": null,
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"label_groups": [
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{
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