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gemma-2b-it-sft-vi-alpaca – AI Model by date3k2 | AlphaNeural AI
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date3k2
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gemma-2b-it-sft-vi-alpaca
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peft
safetensors
trl
sft
generated_from_trainer
google/gemma-1.1-2b-it
adapter
gemma
us
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gemma-2b-it-sft-vi-alpaca
This model is a fine-tuned version of
google/gemma-1.1-2b-it
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.6500
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: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.05
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
1.152
0.9999
5000
0.6500
Framework versions
PEFT 0.11.1
Transformers 4.41.1
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1
