Edit model card

sft-zephyr-beta-7b-vi-math-v1-clean-valid

This model is a fine-tuned version of hllj/Zephyr-beta-7B-Vi-Math on the generator dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4378

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: 4
  • eval_batch_size: 4
  • seed: 42
  • distributed_type: multi-GPU
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.05
  • num_epochs: 2
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
0.2966 1.04 1000 0.4509

Framework versions

  • PEFT 0.5.0
  • Transformers 4.36.2
  • Pytorch 2.1.2
  • Datasets 2.16.0
  • Tokenizers 0.15.0
Downloads last month
0
Inference API
Unable to determine this model’s pipeline type. Check the docs .

Model tree for BaoLocTown/sft-zephyr-beta-7b-vi-math-v1-clean-valid

Adapter
(1)
this model

Collection including BaoLocTown/sft-zephyr-beta-7b-vi-math-v1-clean-valid