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gemma-2-2B-it-thinking-function_calling-V0 – AI Model by mczarnecki | AlphaNeural AI
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mczarnecki
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gemma-2-2B-it-thinking-function_calling-V0
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peft
tensorboard
safetensors
adapter
lora
sft
transformers
trl
text-generation
conversational
google/gemma-2-2b-it
gemma
us
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gemma-2-2B-it-thinking-function_calling-V0
This model is a fine-tuned version of
google/gemma-2-2b-it
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.4615
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
0.4165
1.0
25
0.4615
Framework versions
PEFT 0.17.1
Transformers 4.44.2
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.19.1