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Tukan-1.1B-Chat-reasoning-sft-COLA

This model is a fine-tuned version of TinyLlama/TinyLlama-1.1B-Chat-v1.0 on the generator dataset. It achieves the following results on the evaluation set:

  • Loss: 1.0480

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: 6
  • eval_batch_size: 3
  • seed: 42
  • distributed_type: multi-GPU
  • gradient_accumulation_steps: 20
  • total_train_batch_size: 120
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • num_epochs: 1

Training results

Training Loss Epoch Step Validation Loss
1.0669 0.24 10 1.0635
1.0701 0.47 20 1.0547
1.0753 0.71 30 1.0493
1.0579 0.94 40 1.0480

Framework versions

  • Transformers 4.36.2
  • Pytorch 2.2.0a0+gitd925d94
  • Datasets 2.14.6
  • Tokenizers 0.15.0
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