gemma-2-2b-it-finetuned – AI Model by Chefyo | AlphaNeural AI

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Chefyo/
gemma-2-2b-it-finetuned

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google/gemma-2-2b-it

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gemma-2-2b-it-finetuned

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: 2.6888

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: 1e-05
train_batch_size: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.05
training_steps: 930

Training results

Training Loss	Epoch	Step	Validation Loss
3.4688	0.0392	100	3.0276
2.9055	0.0785	200	2.8322
2.7806	0.1177	300	2.7718
2.7495	0.1570	400	2.7414
2.7223	0.1962	500	2.7206
2.7038	0.2355	600	2.7066
2.7004	0.2747	700	2.6972
2.6974	0.3140	800	2.6913
2.6892	0.3532	900	2.6888

Framework versions

PEFT 0.10.0
Transformers 4.49.0
Pytorch 2.5.1+cxx11.abi
Datasets 3.3.2
Tokenizers 0.21.0