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zephyr-finetuned-on-synthetic-data-2 – AI Model by W1lson | AlphaNeural AI
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TheBloke/zephyr-7B-alpha-GPTQ
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zephyr-finetuned-on-synthetic-data-2
This model is a fine-tuned version of
TheBloke/zephyr-7B-alpha-GPTQ
on the None dataset.
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: 0.0002
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
training_steps: 250
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.35.0.dev0
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.14.1
