fine-tune-gemma-7b – AI Model by kshitij1188 | AlphaNeural AI

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kshitij1188/
fine-tune-gemma-7b

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google/gemma-7b

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fine-tune-gemma-7b

This model is a fine-tuned version of google/gemma-7b on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.5002

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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 6
total_train_batch_size: 24
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.01
training_steps: 150

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.0244	10	1.7039
No log	0.0487	20	1.5506
1.6989	0.0731	30	1.5446
1.6989	0.0975	40	1.5375
1.5135	0.1219	50	1.5419
1.5135	0.1462	60	1.5533
1.5135	0.1706	70	1.5362
1.4875	0.1950	80	1.5241
1.4875	0.2193	90	1.5273
1.516	0.2437	100	1.5218
1.516	0.2681	110	1.5121
1.516	0.2924	120	1.5068
1.5041	0.3168	130	1.5059
1.5041	0.3412	140	1.5048
1.4515	0.3656	150	1.5002

Framework versions

PEFT 0.12.0
Transformers 4.44.2
Pytorch 2.0.0+nv23.05
Datasets 2.15.0
Tokenizers 0.19.1