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sheared-llama-test – AI Model by deepakkoli93 | AlphaNeural AI
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sheared-llama-test
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peft
tensorboard
safetensors
trl
sft
generated_from_trainer
princeton-nlp/Sheared-LLaMA-1.3B
adapter
apache-2.0
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sheared-llama-test
This model is a fine-tuned version of
princeton-nlp/Sheared-LLaMA-1.3B
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 3.8278
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: 0.01
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.05
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
4.0872
1.0
778
4.0301
4.0179
2.0
1556
3.8278
Framework versions
PEFT 0.9.0
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
