gemma2-27b-biomedical-5k – AI Model by Saeedabdf | AlphaNeural AI

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Saeedabdf/
gemma2-27b-biomedical-5k

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google/gemma-2-27b-it

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gemma2-27b-biomedical-5k

This model is a fine-tuned version of google/gemma-2-27b-it on the generator dataset. It achieves the following results on the evaluation set:

Loss: 1.5773

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: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss
1.6151	0.1845	100	1.6014
1.58	0.3689	200	1.5931
1.6179	0.5534	300	1.5920
1.5615	0.7378	400	1.5806
1.5105	0.9223	500	1.5746
1.3345	1.1068	600	1.5904
1.3333	1.2912	700	1.5834
1.2613	1.4757	800	1.5847
1.2982	1.6601	900	1.5800
1.3027	1.8446	1000	1.5773

Framework versions

PEFT 0.12.0
Transformers 4.44.2
Pytorch 2.3.0
Datasets 2.20.0
Tokenizers 0.19.1