PointCon-Vigogne70B / README.md
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metadata
license: llama2
base_model: bofenghuang/vigogne-2-70b-chat
tags:
  - generated_from_trainer
model-index:
  - name: PointCon-vigogne-2-70b-chat-3
    results: []

PointCon-vigogne-2-70b-chat-3

This model is a fine-tuned version of bofenghuang/vigogne-2-70b-chat on an unknown dataset. It achieves the following results on the evaluation set:

  • eval_loss: 1.7526
  • eval_runtime: 116.2987
  • eval_samples_per_second: 0.361
  • eval_steps_per_second: 0.361
  • epoch: 1.2
  • step: 150

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: 5e-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: 3
  • mixed_precision_training: Native AMP

Framework versions

  • Transformers 4.35.0
  • Pytorch 2.1.0+cu118
  • Datasets 2.14.6
  • Tokenizers 0.14.1