segmentation-observations

README.md

@@ -4,14 +4,14 @@ base_model: neuralmind/bert-base-portuguese-cased
 tags:
 - generated_from_trainer
 model-index:
-- name: google-play-sentiment-analysis
+- name: segmentation-observations
   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. -->
 
-# google-play-sentiment-analysis
+# segmentation-observations
 
 This model is a fine-tuned version of [neuralmind/bert-base-portuguese-cased](https://huggingface.co/neuralmind/bert-base-portuguese-cased) on an unknown dataset.
 

config.json

@@ -0,0 +1,59 @@
+{
+  "_name_or_path": "neuralmind/bert-base-portuguese-cased",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "directionality": "bidi",
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "Pre\u00e7o alto",
+    "1": "Estoque cheio",
+    "2": "Compra com externo",
+    "3": "Comprou recente",
+    "4": "Possui outro cadastro",
+    "5": "Nao atende",
+    "6": "Telefone incorreto",
+    "7": "Encerrou as opera\u00e7\u00f5es",
+    "8": "Cota\u00e7\u00e3o",
+    "9": "Sem credito",
+    "10": "Ligar outro dia"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "Compra com externo": 2,
+    "Comprou recente": 3,
+    "Cota\u00e7\u00e3o": 8,
+    "Encerrou as opera\u00e7\u00f5es": 7,
+    "Estoque cheio": 1,
+    "Ligar outro dia:": 10,
+    "Nao atende": 5,
+    "Possui outro cadastro": 4,
+    "Pre\u00e7o alto": 0,
+    "Sem credito": 9,
+    "Telefone incorreto": 6
+  },
+  "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",
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.35.2",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 29794
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:32a91eaa3d47dd7153f181ed9bd3334fc8770a7f94aaacf2bf89b79aef36922c
+size 435749908

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f801fb28eab21e4ad63731c03c98a0bae3dd2d22ed031d10220484006b36831c
+size 4600