metadata

base_model: BAAI/bge-m3-retromae
tags:
  - generated_from_trainer
datasets:
  - adalbertojunior/segmentacao
model-index:
  - name: test_crf
    results: []

test_crf

This model is a fine-tuned version of 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

Usage

from transformers import pipeline
segmenter = pipeline("ner", model="./models/test_crf_v2", aggregation_strategy="simple", device=0)
entities = segmenter(text)

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