End of training

.gitignore

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+checkpoint-*/

GOAT

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+Subproject commit 04bfa1516ef460402045d4b83a8fd3078d673dcf

config.json

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+{
+  "_name_or_path": "../cfilt_collpased-muril-base-cased_ner_16_5e-05_10_1/checkpoint-2500/",
+  "architectures": [
+    "BertForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "embedding_size": 768,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "B-LOCATION",
+    "1": "B-ORGANIZATION",
+    "2": "B-PERSON",
+    "3": "I-LOCATION",
+    "4": "I-ORGANIZATION",
+    "5": "I-PERSON",
+    "6": "O"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "B-LOCATION": 0,
+    "B-ORGANIZATION": 1,
+    "B-PERSON": 2,
+    "I-LOCATION": 3,
+    "I-ORGANIZATION": 4,
+    "I-PERSON": 5,
+    "O": 6
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.14.0",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 197285
+}

dev_results.txt

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+test_loss = 0.07428672164678574
+test_precision = 0.9049101352603298
+test_recall = 0.9209156735555891
+test_f1 = 0.9128427506027924
+test_runtime = 126.6688
+test_samples_per_second = 86.17
+test_steps_per_second = 10.776

pytorch_model.bin

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runs/Apr29_13-41-57_cccxc514/events.out.tfevents.1651254951.cccxc514.3173784.0

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test_results.txt

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+test_loss = 0.07429463416337967
+test_precision = 0.9024971371578442
+test_recall = 0.9207793920892456
+test_f1 = 0.9115466052290386
+test_runtime = 249.8536
+test_samples_per_second = 87.371
+test_steps_per_second = 10.922

training_args.bin

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