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biomistral-7b-wo-kqa_golden-iter-sft-step2

This model is a fine-tuned version of Minbyul/biomistral-7b-wo-kqa_golden-iter-sft-dpo-step1 on the HuggingFaceH4/deita-10k-v0-sft dataset. It achieves the following results on the evaluation set:

  • Loss: 1.7672

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: 2e-05
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 4
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 64
  • total_eval_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss
0.4982 0.95 13 1.4957
0.2254 1.96 27 1.6817
0.1095 2.84 39 1.7672

Framework versions

  • Transformers 4.39.0.dev0
  • Pytorch 2.1.2
  • Datasets 2.14.6
  • Tokenizers 0.15.2
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Dataset used to train Minbyul/biomistral-7b-wo-kqa_golden-iter-sft-step2