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gemma-2b-it-finetuned-new – AI Model by Sabyasachi | AlphaNeural AI
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Sabyasachi
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gemma-2b-it-finetuned-new
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peft
safetensors
generated_from_trainer
google/gemma-2b-it
adapter
gemma
us
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gemma-2b-it-finetuned-new
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: 5.9116
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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
15.0058
0.9778
11
8.7770
8.5905
1.9556
22
6.5263
6.8553
2.9333
33
5.9116
Framework versions
PEFT 0.13.2
Transformers 4.46.2
Pytorch 2.1.0+cu118
Datasets 3.1.0
Tokenizers 0.20.3
