Training in progress, step 500

.gitignore

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config.json

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+{
+  "_name_or_path": "distilbert-base-uncased",
+  "activation": "gelu",
+  "architectures": [
+    "DistilBertForQuestionAnswering"
+  ],
+  "attention_dropout": 0.1,
+  "dim": 768,
+  "dropout": 0.1,
+  "hidden_dim": 3072,
+  "initializer_range": 0.02,
+  "max_position_embeddings": 512,
+  "model_type": "distilbert",
+  "n_heads": 12,
+  "n_layers": 6,
+  "pad_token_id": 0,
+  "qa_dropout": 0.1,
+  "seq_classif_dropout": 0.2,
+  "sinusoidal_pos_embds": false,
+  "tie_weights_": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.25.1",
+  "vocab_size": 30522
+}

pytorch_model.bin

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runs/Dec03_18-49-05_745a24f55d41/1670093351.9371624/events.out.tfevents.1670093351.745a24f55d41.114.1

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special_tokens_map.json

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+{
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+  "cls_token": "[CLS]",
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+  "mask_token": {
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+    "single_word": false
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+  "unk_token": "<unk>"
+}

tokenizer_config.json

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+{
+  "bos_token": "[CLS]",
+  "cls_token": "[CLS]",
+  "do_lower_case": true,
+  "eos_token": "[SEP]",
+  "keep_accents": false,
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+  "name_or_path": "albert-base-v2",
+  "pad_token": "<pad>",
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+  "tokenizer_class": "AlbertTokenizer",
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training_args.bin

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