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V3 Ultra: 120k Amostras, Batch 256 (32x8), Max_Len 256, Checkpointing
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metadata
library_name: transformers
license: mit
base_model: MattosDev/foxy-nlp-br
tags:
  - generated_from_trainer
model-index:
  - name: foxy-nlp-br-v3-ultra
    results: []

foxy-nlp-br-v3-ultra

This model is a fine-tuned version of MattosDev/foxy-nlp-br on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1263

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: 2e-05
  • train_batch_size: 80
  • eval_batch_size: 80
  • seed: 42
  • gradient_accumulation_steps: 3
  • total_train_batch_size: 240
  • optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • num_epochs: 5

Training results

Training Loss Epoch Step Validation Loss
No log 1.0 450 0.1425
1.1068 2.0 900 0.1292
0.4332 3.0 1350 0.1280
0.4064 4.0 1800 0.1264
0.4019 5.0 2250 0.1263

Framework versions

  • Transformers 5.0.0
  • Pytorch 2.10.0+cu128
  • Datasets 4.0.0
  • Tokenizers 0.22.2