metadata

library_name: transformers
tags:
  - generated_from_trainer
datasets:
  - adalbertojunior/entities
model-index:
  - name: test_v4
    results: []

test_v4

This model is a fine-tuned version of ./models/entities/test_v4 on the adalbertojunior/entities dataset. It achieves the following results on the evaluation set:

eval_loss: 0.1648
eval_model_preparation_time: 0.0009
eval_precision: 0.8411
eval_recall: 0.8900
eval_f1: 0.8649
eval_accuracy: 0.9744
eval_runtime: 177.3832
eval_samples_per_second: 27.962
eval_steps_per_second: 27.962
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: 0.0002
train_batch_size: 8
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 64
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 20.0

Framework versions

Transformers 4.47.1
Pytorch 2.5.1+cu121
Datasets 3.0.1
Tokenizers 0.21.0