gemma3_banking77 – AI Model by tinyllamafinetuner | AlphaNeural AI

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gemma3_banking77

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google/gemma-3-270m

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gemma3_banking77

This model is a fine-tuned version of google/gemma-3-270m on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.4452
Accuracy: 0.9101
F1: 0.9102

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: 0.0002
train_batch_size: 16
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 0.1
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
1.4154	1.0	313	0.6781	0.8172	0.8188
0.6255	2.0	626	0.4265	0.8831	0.8837
0.2972	3.0	939	0.4333	0.9	0.9001
0.0862	4.0	1252	0.4326	0.9117	0.9119
0.0102	5.0	1565	0.4452	0.9101	0.9102

Framework versions

PEFT 0.18.1
Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 2.21.0
Tokenizers 0.22.2