commit from $USER

Conf-ajuste.txt

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+optim = AdamW(model.parameters(), lr=3e-5) #tasa de aprendizaje
+# Se inicializa el cargador de datos para los datos de entrenamiento
+train_loader = DataLoader(train_dataset, batch_size=16, shuffle=True)
+
+for epoch in range(4):
+
+Epoch 0: 100%|██████████| 94/94 [01:58<00:00,  1.26s/it, loss=1.08]
+Epoch 1: 100%|██████████| 94/94 [02:00<00:00,  1.28s/it, loss=2.86]
+Epoch 2: 100%|██████████| 94/94 [02:00<00:00,  1.28s/it, loss=0.612]
+Epoch 3: 100%|██████████| 94/94 [02:00<00:00,  1.28s/it, loss=0.0787]
+
+Precisión del modelo ajustado: 0.8043478260869565

Conf_bert.txt

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+optim = AdamW(model.parameters(), lr=5e-5, eps=1e-8) #tasa de aprendizaje
+# Se inicializa el cargador de datos para los datos de entrenamiento
+train_loader = DataLoader(train_dataset, batch_size=16, shuffle=True)
+
+for epoch in range(10):
+
+{'score': 0.7284889221191406, 'start': 14, 'end': 29, 'answer': 'serology tests,'}
+
+Precisión del modelo ajustado: 0.8211654387139986
+
+Epoch 0: 100%|██████████| 94/94 [00:57<00:00,  1.62it/s, loss=1.87]
+Epoch 1: 100%|██████████| 94/94 [00:57<00:00,  1.62it/s, loss=0.211]
+Epoch 2: 100%|██████████| 94/94 [00:57<00:00,  1.62it/s, loss=1.95]
+Epoch 3: 100%|██████████| 94/94 [00:57<00:00,  1.62it/s, loss=0.0322]
+Epoch 4: 100%|██████████| 94/94 [00:57<00:00,  1.62it/s, loss=0.0229]
+Epoch 5: 100%|██████████| 94/94 [00:57<00:00,  1.62it/s, loss=0.0271]
+Epoch 6: 100%|██████████| 94/94 [00:57<00:00,  1.62it/s, loss=0.59]
+Epoch 7: 100%|██████████| 94/94 [00:57<00:00,  1.62it/s, loss=0.0233]
+Epoch 8: 100%|██████████| 94/94 [00:57<00:00,  1.62it/s, loss=0.00257]
+Epoch 9: 100%|██████████| 94/94 [00:57<00:00,  1.62it/s, loss=0.00663]

config.json

@@ -0,0 +1,28 @@
+{
+  "_name_or_path": "deepset/bert-base-cased-squad2",
+  "architectures": [
+    "BertForQuestionAnswering"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "language": "english",
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "name": "Bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "output_past": true,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.21.1",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 28996
+}

pytorch_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3d1ce956f357d5b2461c60ed4d27577b0ac2fdfa647af3117c1116ce9fd39061
+size 430955313

special_tokens_map.json

@@ -0,0 +1,7 @@
+{
+  "cls_token": "[CLS]",
+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
+}

tokenizer_config.json

@@ -0,0 +1,16 @@
+{
+  "cls_token": "[CLS]",
+  "do_basic_tokenize": true,
+  "do_lower_case": false,
+  "mask_token": "[MASK]",
+  "max_len": 512,
+  "name_or_path": "deepset/bert-base-cased-squad2",
+  "never_split": null,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "special_tokens_map_file": "/root/.cache/huggingface/transformers/5fa07cc35cf92053100af63a5b23424ba428c75dafc83de837f7c2bd5118a8b1.dd8bd9bfd3664b530ea4e645105f557769387b3da9f79bdb55ed556bdd80611d",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]"
+}