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lavy-Instruct_impression_full

This model is a fine-tuned version of Viet-Mistral/Vistral-7B-Chat on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4707

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: 3e-05
  • train_batch_size: 35
  • eval_batch_size: 35
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 7
  • total_train_batch_size: 245
  • total_eval_batch_size: 245
  • 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: cosine
  • lr_scheduler_warmup_ratio: 0.03
  • num_epochs: 20

Training results

Training Loss Epoch Step Validation Loss
0.3633 5.5556 100 0.4539
0.2222 11.1111 200 0.5668
0.1579 16.6667 300 0.7059

Framework versions

  • Transformers 4.51.3
  • Pytorch 2.8.0.dev20250507+cu128
  • Datasets 3.5.0
  • Tokenizers 0.21.1
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