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gemma-2b-it-finetuned – AI Model by Sabyasachi | AlphaNeural AI
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Sabyasachi
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gemma-2b-it-finetuned
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peft
safetensors
generated_from_trainer
google/gemma-2b-it
adapter
gemma
us
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gemma-2b-it-finetuned
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: 5.5668
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: 5e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
15.0347
1.0
13
8.1513
7.7981
2.0
26
6.0494
6.203
3.0
39
5.5668
Framework versions
PEFT 0.13.0
Transformers 4.45.1
Pytorch 2.1.0+cu118
Datasets 3.0.1
Tokenizers 0.20.0
