Acadys/PointCon-Vigogne70B

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