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PointCon-Vigogne70B – AI Model by Acadys | AlphaNeural AI
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PointCon-Vigogne70B
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safetensors
generated_from_trainer
bofenghuang/vigogne-2-70b-chat
finetune
llama2
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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