Upload with huggingface_hub

added_tokens.json

@@ -0,0 +1 @@
+{"[tgt]": 30522}

config.json

@@ -0,0 +1,34 @@
+{
+  "architectures": [
+    "BertForMaskedLM"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "finetuning_task": null,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "is_decoder": false,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "num_labels": 2,
+  "output_attentions": false,
+  "output_hidden_states": false,
+  "output_past": true,
+  "pruned_heads": {},
+  "torchscript": false,
+  "type_vocab_size": 2,
+  "use_bfloat16": false,
+  "vocab_size": 30523
+}

eval_results/semeval2007-gloss_ranking_predictions (73.6%).txt

@@ -0,0 +1,455 @@
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eval_results/semeval2013-gloss_ranking_predictions (79.1%).txt

@@ -0,0 +1,1644 @@
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eval_results/semeval2015-gloss_ranking_predictions (82.0%).txt

@@ -0,0 +1,1022 @@
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eval_results/senseval2-gloss_ranking_predictions (79.3%).txt

@@ -0,0 +1,2282 @@
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eval_results/senseval3-gloss_ranking_predictions (76.9%).txt

@@ -0,0 +1,1850 @@
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optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cf60672e2c539679f387e84f47d1e5842d934fa24968d86c84e8601e03a5bd8a
+size 875930274

pytorch_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:48158e73f725a00a375f83c720f9f2aff3a3e8fa6a2fdb2673b1bd129f89440f
+size 437989134

scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8cca8ca21f16f69fa72800d68bb021a9e1e7cfa5e862383cd662ae6cc4207d5f
+size 254

special_tokens_map.json

@@ -0,0 +1 @@
+{"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "additional_special_tokens": ["[TGT]"]}

tokenizer_config.json

@@ -0,0 +1 @@
+{"do_lower_case": true, "max_len": 512, "init_inputs": []}

train.sh

@@ -0,0 +1,13 @@
+python script/run_model.py \
+    --do_train \
+    --train_path "data/train/semcor-max_num_gloss=6-augmented.csv" \
+    --evaluate_during_training \
+    --eval_path "data/dev/semeval2007.csv" \
+    --model_name_or_path "bert-base-uncased" \
+    --output_dir "model/bert_base-augmented-batch_size=128-lr=2e-5-max_gloss=6" \
+    --save_steps "1000" \
+    --logging_steps "1000" \
+    --num_train_epochs "4" \
+    --per_gpu_train_batch_size "8" \
+    --gradient_accumulation_steps "16" \
+    --learning_rate "2e-5"

training_args.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:f4ab5d90924bfeec5166e1ffd4e961d6fbf8af97b1e374330438bb244cb5f01a
+size 1211