fine-tuned-bertimbau-for-law-weighted-2

README.md

@@ -0,0 +1,53 @@
+---
+library_name: transformers
+license: mit
+base_model: neuralmind/bert-large-portuguese-cased
+tags:
+- generated_from_trainer
+model-index:
+- name: modelo-pesos-2
+  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. -->
+
+# modelo-pesos-2
+
+This model is a fine-tuned version of [neuralmind/bert-large-portuguese-cased](https://huggingface.co/neuralmind/bert-large-portuguese-cased) on the None dataset.
+
+## 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: 5e-06
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 2
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.0
+- Tokenizers 0.19.1

config.json

@@ -0,0 +1,47 @@
+{
+  "_name_or_path": "neuralmind/bert-large-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": 1024,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2",
+    "3": "LABEL_3",
+    "4": "LABEL_4"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2,
+    "LABEL_3": 3,
+    "LABEL_4": 4
+  },
+  "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": "4.44.2",
+  "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 sha256:7ba124b766980d34a35b3dfdca0165e9c31a08cb51afb8cb0b02c01d20c264f5
+size 1337653172

runs/Sep23_02-31-54_instance-20240921-203352/events.out.tfevents.1727058734.instance-20240921-203352

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:18728f190936142c5ac301ee2b1583d356c74eea235feed1075149638a36e0d7
+size 5380

runs/Sep23_02-31-54_instance-20240921-203352/events.out.tfevents.1727058834.instance-20240921-203352

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2e82e255ef7caa3d8e6a5814ec056b809718c6953c6d0b0b13afba008d2fcf30
+size 5380

runs/Sep23_02-35-44_instance-20240921-203352/events.out.tfevents.1727058965.instance-20240921-203352

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fdc3010fd9a43209ad82cefb80d28544ee2ed4c3fa2ee91c2f9d59630c37dccb
+size 5301

runs/Sep23_02-39-18_instance-20240921-203352/events.out.tfevents.1727059172.instance-20240921-203352

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9fd6bca1e4d2f14b830a13b78ca2cf6083ceb62f6f6614f088bdd230a426cd06
+size 9099

runs/Sep23_10-47-11_instance-20240921-203352/events.out.tfevents.1727088464.instance-20240921-203352

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1861e39a971c481ef56707b4db485fa5cffc603c70a206f0a1f6a486ea563f71
+size 13484

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e58f093fcbf6228c8b2fdccb8e91f97f078c3eed24ed9e8f0c59ab6a87f8ab1b
+size 5240