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