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Zaligner-v1 – AI Model by Ksgk-fy | AlphaNeural AI
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Zaligner-v1
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peft
tensorboard
safetensors
trl
sft
generated_from_trainer
HuggingFaceH4/zephyr-7b-beta
adapter
mit
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Zaligner-v1
This model is a fine-tuned version of
HuggingFaceH4/zephyr-7b-beta
on an unknown 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: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.03
num_epochs: 5
Training results
Framework versions
PEFT 0.10.0
Transformers 4.40.1
Pytorch 2.3.0+cu121
Datasets 2.19.0
Tokenizers 0.19.1
