End of training

.gitignore

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+checkpoint-*/

GOAT

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+Subproject commit 7dafff2a6315310e8dc30b73951fbc0a05fdd76d

config.json

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+{
+  "_name_or_path": "../HiNER/cfilt_original/cfilt_original-xlm-roberta-large_ner_16_3e-05_10_1/",
+  "architectures": [
+    "XLMRobertaForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 1024,
+  "id2label": {
+    "0": "B-FESTIVAL",
+    "1": "B-GAME",
+    "2": "B-LANGUAGE",
+    "3": "B-LITERATURE",
+    "4": "B-LOCATION",
+    "5": "B-MISC",
+    "6": "B-NUMEX",
+    "7": "B-ORGANIZATION",
+    "8": "B-PERSON",
+    "9": "B-RELIGION",
+    "10": "B-TIMEX",
+    "11": "I-FESTIVAL",
+    "12": "I-GAME",
+    "13": "I-LANGUAGE",
+    "14": "I-LITERATURE",
+    "15": "I-LOCATION",
+    "16": "I-MISC",
+    "17": "I-NUMEX",
+    "18": "I-ORGANIZATION",
+    "19": "I-PERSON",
+    "20": "I-RELIGION",
+    "21": "I-TIMEX",
+    "22": "O"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "label2id": {
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+    "B-GAME": 1,
+    "B-LANGUAGE": 2,
+    "B-LITERATURE": 3,
+    "B-LOCATION": 4,
+    "B-MISC": 5,
+    "B-NUMEX": 6,
+    "B-ORGANIZATION": 7,
+    "B-PERSON": 8,
+    "B-RELIGION": 9,
+    "B-TIMEX": 10,
+    "I-FESTIVAL": 11,
+    "I-GAME": 12,
+    "I-LANGUAGE": 13,
+    "I-LITERATURE": 14,
+    "I-LOCATION": 15,
+    "I-MISC": 16,
+    "I-NUMEX": 17,
+    "I-ORGANIZATION": 18,
+    "I-PERSON": 19,
+    "I-RELIGION": 20,
+    "I-TIMEX": 21,
+    "O": 22
+  },
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "xlm-roberta",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 24,
+  "output_past": true,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.14.0",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 250002
+}

dev_results.txt

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+test_loss = 0.09286307543516159
+test_precision = 0.894966767560146
+test_recall = 0.8859269784394885
+test_f1 = 0.8904239300849103
+test_runtime = 160.3832
+test_samples_per_second = 68.056
+test_steps_per_second = 8.511

pytorch_model.bin

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runs/May01_03-39-27_cccxc557/events.out.tfevents.1651391671.cccxc557.2725506.0

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test_results.txt

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+test_loss = 0.08977837860584259
+test_precision = 0.8968858782575971
+test_recall = 0.8871207891308394
+test_f1 = 0.8919766081871345
+test_runtime = 315.5399
+test_samples_per_second = 69.183
+test_steps_per_second = 8.649

training_args.bin

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