Upload README.md

README.md

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+---
+base_model: BAAI/bge-m3-retromae
+tags:
+- generated_from_trainer
+datasets:
+- adalbertojunior/segmentacao
+model-index:
+- name: test_crf
+  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. -->
+
+# test_crf
+
+This model is a fine-tuned version of [BAAI/bge-m3-retromae](https://huggingface.co/BAAI/bge-m3-retromae) on the adalbertojunior/segmentacao dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 0.0063
+- eval_model_preparation_time: 0.0032
+- eval_precision: 0.6294
+- eval_recall: 0.6832
+- eval_f1: 0.6552
+- eval_accuracy: 0.9989
+- eval_runtime: 12.8447
+- eval_samples_per_second: 3.893
+- eval_steps_per_second: 3.893
+- step: 0
+
+## 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-05
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 1.0
+
+### Framework versions
+
+- Transformers 4.43.4
+- Pytorch 2.4.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1