gemma_summarizer_3

This model is a fine-tuned version of google/gemma-2-2b-it on the None dataset. It achieves the following results on the evaluation set:

• Loss: 2.0674

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: 2
• eval_batch_size: 2
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 4
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 5
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss
0.5969	0.9998	3150	1.7505
0.586	1.9997	6300	1.9634
0.7215	2.9995	9450	1.8744
0.7263	3.9994	12600	1.9856
0.8409	4.9992	15750	2.0674

Framework versions

• PEFT 0.11.1
• Transformers 4.44.0
• Pytorch 2.3.1
• Datasets 2.20.0
• Tokenizers 0.19.1