Edit model card

vistral-7B_finetuned_A100_April24th

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: 0.1997

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: 4e-05
  • train_batch_size: 1
  • eval_batch_size: 1
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 5

Training results

Training Loss Epoch Step Validation Loss
0.7221 1.0 79685 0.5586
0.467 2.0 159370 0.3150
0.3586 3.0 239055 0.2440
0.2954 4.0 318740 0.2116
0.2556 5.0 398425 0.1997

Framework versions

  • PEFT 0.7.1
  • Transformers 4.39.3
  • Pytorch 2.1.2+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2
Downloads last month
3
Inference API
Unable to determine this model’s pipeline type. Check the docs .

Model tree for Kudod/vistral-7B_finetuned_A100_April24th

Adapter
(44)
this model