Mental-Yi-7B-V2 / README.md
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metadata
license: other
library_name: peft
tags:
  - generated_from_trainer
base_model: 01-ai/Yi-6B-Chat
model-index:
  - name: Mental-Yi-7B-V2
    results: []

Mental-Yi-7B-V2

This model is a fine-tuned version of 01-ai/Yi-6B-Chat on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 2.9559

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: 0.001
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 5
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
3.2248 1.48 500 2.9363
2.7215 2.96 1000 2.8738
2.4815 4.44 1500 2.9559

Framework versions

  • PEFT 0.10.0
  • Transformers 4.39.1
  • Pytorch 2.1.2
  • Datasets 2.18.0
  • Tokenizers 0.15.1