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fine-tuned-checkpoints – AI Model by devesh1496 | AlphaNeural AI
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fine-tuned-checkpoints
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peft
tensorboard
safetensors
trl
sft
generated_from_trainer
Deci/DeciLM-7B
adapter
apache-2.0
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fine-tuned-checkpoints
This model is a fine-tuned version of
Deci/DeciLM-7B
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: 0.0003
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: reduce_lr_on_plateau
lr_scheduler_warmup_steps: 150
training_steps: 30
Training results
Framework versions
PEFT 0.10.0
Transformers 4.39.3
Pytorch 2.1.2
Datasets 2.16.0
Tokenizers 0.15.2
