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taiwan-kapok-300M

  • Loss: 2.7894

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: 0.0006
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 2
  • gradient_accumulation_steps: 64
  • total_train_batch_size: 512
  • total_eval_batch_size: 8
  • optimizer: Adam with betas=(0.9,0.95) and epsilon=0.0001
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_steps: 1000
  • num_epochs: 5
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
2.6962 3.35 5000 2.7894

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.1.2+cu121
  • Datasets 2.14.5
  • Tokenizers 0.14.1
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Model size
318M params
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F32
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