Training in progress, epoch 1
Browse files- config.json +4 -4
- pytorch_model.bin +2 -2
- runs/Mar24_00-14-47_1f6fbf265ce1/events.out.tfevents.1648080891.1f6fbf265ce1.70.14 +2 -2
- runs/Mar24_00-14-47_1f6fbf265ce1/events.out.tfevents.1648081191.1f6fbf265ce1.70.16 +3 -0
- runs/Mar24_00-25-40_1f6fbf265ce1/1648081545.3423886/events.out.tfevents.1648081545.1f6fbf265ce1.70.18 +3 -0
- runs/Mar24_00-25-40_1f6fbf265ce1/events.out.tfevents.1648081545.1f6fbf265ce1.70.17 +3 -0
- 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-12_H-
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"architectures": [
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"BertForSequenceClassification"
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],
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@@ -7,13 +7,13 @@
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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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"initializer_range": 0.02,
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"intermediate_size":
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "bert",
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"num_attention_heads":
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"num_hidden_layers": 12,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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{
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+
"_name_or_path": "google/bert_uncased_L-12_H-256_A-4",
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"architectures": [
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"BertForSequenceClassification"
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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": 256,
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"initializer_range": 0.02,
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"intermediate_size": 1024,
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "bert",
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+
"num_attention_heads": 4,
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"num_hidden_layers": 12,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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pytorch_model.bin
CHANGED
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runs/Mar24_00-14-47_1f6fbf265ce1/events.out.tfevents.1648080891.1f6fbf265ce1.70.14
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runs/Mar24_00-14-47_1f6fbf265ce1/events.out.tfevents.1648081191.1f6fbf265ce1.70.16
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runs/Mar24_00-25-40_1f6fbf265ce1/1648081545.3423886/events.out.tfevents.1648081545.1f6fbf265ce1.70.18
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runs/Mar24_00-25-40_1f6fbf265ce1/events.out.tfevents.1648081545.1f6fbf265ce1.70.17
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training_args.bin
CHANGED
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