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gemma-2b-it-lora-math – AI Model by yspkm | AlphaNeural AI
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gemma-2b-it-lora-math
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safetensors
generated_from_trainer
google/gemma-2b-it
finetune
gemma
us
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gemma-2b-it-lora-math
This model is a fine-tuned version of
google/gemma-2b-it
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.4824
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: 8
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 4
total_train_batch_size: 128
total_eval_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 100
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
0.5108
0.5131
200
0.5543
0.4467
1.0263
400
0.5035
0.4167
1.5394
600
0.4929
0.3823
2.0526
800
0.4840
0.379
2.5657
1000
0.4824
Framework versions
Transformers 4.42.3
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1
