bloom560mtask2 / README.md
MohammadKarami's picture
IberTextClassificationBloom560mTask2
5341d88 verified
metadata
license: bigscience-bloom-rail-1.0
base_model: bigscience/bloom-560m
tags:
  - generated_from_trainer
metrics:
  - f1
model-index:
  - name: Model
    results: []

Model

This model is a fine-tuned version of bigscience/bloom-560m on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.3562
  • F1: 0.7886

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: 4
  • eval_batch_size: 4
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss F1
0.9849 1.0 2500 0.8808 0.6951
0.4775 2.0 5000 0.8355 0.739
0.1347 3.0 7500 1.3562 0.7886

Framework versions

  • Transformers 4.41.2
  • Pytorch 2.3.0+cu121
  • Datasets 2.19.2
  • Tokenizers 0.19.1