End of training

.gitignore

@@ -0,0 +1 @@
+checkpoint-*/

config.json

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+{
+  "_name_or_path": "SupriyaArun/squeezebert-uncased-finetuned-squad",
+  "architectures": [
+    "SqueezeBertForQuestionAnswering"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "embedding_size": 768,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "initializer_range": 0.02,
+  "intermediate_groups": 4,
+  "intermediate_size": 3072,
+  "k_groups": 4,
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "squeezebert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "output_groups": 4,
+  "pad_token_id": 0,
+  "post_attention_groups": 1,
+  "q_groups": 4,
+  "torch_dtype": "float32",
+  "transformers_version": "4.13.0",
+  "type_vocab_size": 2,
+  "v_groups": 4,
+  "vocab_size": 30528
+}

pytorch_model.bin

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+size 204471917

special_tokens_map.json

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+{"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}

tokenizer_config.json

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+{"do_lower_case": true, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "SupriyaArun/squeezebert-uncased-finetuned-squad", "tokenizer_class": "SqueezeBertTokenizer"}

training_args.bin

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