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gemma-2-2b-it-function_calling – AI Model by google-cloud-partnership | AlphaNeural AI
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google-cloud-partnership
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gemma-2-2b-it-function_calling
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peft
tensorboard
safetensors
trl
sft
generated_from_trainer
generator
google/gemma-2-2b-it
adapter
gemma
us
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gemma-2-2B-it-function_calling
This model is a fine-tuned version of
google/gemma-2-2b-it
on the generator dataset. It achieves the following results on the evaluation set:
Loss: 0.8928
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: 0.0001
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
0.8466
0.9994
398
0.8928
Framework versions
PEFT 0.12.0
Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.0
Tokenizers 0.19.1
