Training in progress, epoch 1

README.md

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+---
+library_name: transformers
+license: mit
+base_model: neuralmind/bert-base-portuguese-cased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: foxy-nlp-n1
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# foxy-nlp-n1
+
+This model is a fine-tuned version of [neuralmind/bert-base-portuguese-cased](https://huggingface.co/neuralmind/bert-base-portuguese-cased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1471
+- Accuracy: 0.9538
+- F1: 0.9534
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 1e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 0.2
+- num_epochs: 8
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| No log        | 1.0   | 65   | 0.6917          | 0.9077   | 0.9066 |
+| No log        | 2.0   | 130  | 0.4789          | 0.9231   | 0.9234 |
+| No log        | 3.0   | 195  | 0.3158          | 0.9385   | 0.9381 |
+| No log        | 4.0   | 260  | 0.2137          | 0.9385   | 0.9379 |
+| No log        | 5.0   | 325  | 0.1870          | 0.9462   | 0.9455 |
+| No log        | 6.0   | 390  | 0.1566          | 0.9538   | 0.9534 |
+| No log        | 7.0   | 455  | 0.1474          | 0.9615   | 0.9608 |
+| 0.2406        | 8.0   | 520  | 0.1471          | 0.9538   | 0.9534 |
+
+
+### Framework versions
+
+- Transformers 5.0.0
+- Pytorch 2.10.0+cu128
+- Datasets 4.0.0
+- Tokenizers 0.22.2

config.json

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+{
+  "add_cross_attention": false,
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": null,
+  "classifier_dropout": null,
+  "directionality": "bidi",
+  "dtype": "float32",
+  "eos_token_id": null,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "DUVIDA_CATALOGO",
+    "1": "DUVIDA_FUNCIONAMENTO",
+    "2": "DUVIDA_PRECO",
+    "3": "STATUS_PEDIDO",
+    "4": "PRAZO_ENTREGA",
+    "5": "SEGUNDA_VIA_BOLETO",
+    "6": "CANCELAMENTO_ESTORNO",
+    "7": "FALHA_TECNICA",
+    "8": "XINGAMENTO_IRRITACAO",
+    "9": "HUMANO_ESCALONAMENTO",
+    "10": "SAUDACAO",
+    "11": "DESPEDIDA",
+    "12": "AGRADECIMENTO"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "is_decoder": false,
+  "label2id": {
+    "AGRADECIMENTO": 12,
+    "CANCELAMENTO_ESTORNO": 6,
+    "DESPEDIDA": 11,
+    "DUVIDA_CATALOGO": 0,
+    "DUVIDA_FUNCIONAMENTO": 1,
+    "DUVIDA_PRECO": 2,
+    "FALHA_TECNICA": 7,
+    "HUMANO_ESCALONAMENTO": 9,
+    "PRAZO_ENTREGA": 4,
+    "SAUDACAO": 10,
+    "SEGUNDA_VIA_BOLETO": 5,
+    "STATUS_PEDIDO": 3,
+    "XINGAMENTO_IRRITACAO": 8
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "output_past": true,
+  "pad_token_id": 0,
+  "pooler_fc_size": 768,
+  "pooler_num_attention_heads": 12,
+  "pooler_num_fc_layers": 3,
+  "pooler_size_per_head": 128,
+  "pooler_type": "first_token_transform",
+  "problem_type": "single_label_classification",
+  "tie_word_embeddings": true,
+  "transformers_version": "5.0.0",
+  "type_vocab_size": 2,
+  "use_cache": false,
+  "vocab_size": 29794
+}

model.safetensors

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tokenizer_config.json

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+{
+  "backend": "tokenizers",
+  "cls_token": "[CLS]",
+  "do_lower_case": false,
+  "is_local": false,
+  "mask_token": "[MASK]",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]"
+}

training_args.bin

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