ia_feminista_tema

README.md

@@ -0,0 +1,61 @@
+---
+library_name: transformers
+license: mit
+base_model: belisards/congretimbau3
+tags:
+- generated_from_trainer
+model-index:
+- name: modelos
+  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. -->
+
+# modelos
+
+This model is a fine-tuned version of [belisards/congretimbau3](https://huggingface.co/belisards/congretimbau3) on the None dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 1.0444
+- eval_accuracy: 0.7976
+- eval_f1: 0.7873
+- eval_recall: 0.7721
+- eval_precision: 0.8096
+- eval_runtime: 1.8041
+- eval_samples_per_second: 93.121
+- eval_steps_per_second: 3.326
+- epoch: 3.3590
+- step: 131
+
+## 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: 32
+- eval_batch_size: 32
+- seed: 5151
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 150
+- num_epochs: 10
+
+### Framework versions
+
+- Transformers 4.45.1
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.1
+- Tokenizers 0.20.0

config.json

@@ -0,0 +1,55 @@
+{
+  "_name_or_path": "belisards/congretimbau3",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.05,
+  "classifier_dropout": null,
+  "directionality": "bidi",
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.05,
+  "hidden_size": 1024,
+  "id2label": {
+    "0": "economia",
+    "1": "genero",
+    "2": "dignidade sexual",
+    "3": "violencia contra a mulher",
+    "4": "politica",
+    "5": "direitos sexuais e reprodutivos",
+    "6": "direitos sociais",
+    "7": "maternidade",
+    "8": "feminicidio"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "label2id": {
+    "dignidade sexual": 2,
+    "direitos sexuais e reprodutivos": 5,
+    "direitos sociais": 6,
+    "economia": 0,
+    "feminicidio": 8,
+    "genero": 1,
+    "maternidade": 7,
+    "politica": 4,
+    "violencia contra a mulher": 3
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 24,
+  "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": "4.45.1",
+  "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 sha256:77c8317cc692aeb690197185da4c097a66fea020d59faf5dd2a1120c9137547b
+size 1337669572

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5e6ae08ab82d6b68328ff7198ab1dbc5e2c7ea89c40905af49f4fd3820c16bfd
+size 5304