smartly-tourjouman-tamazight-lora-multi

This model is a fine-tuned version of google/gemma-2-9b-it on the None dataset. It achieves the following results on the evaluation set:

• Loss: nan

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: 1
• seed: 42
• distributed_type: multi-GPU
• num_devices: 8
• gradient_accumulation_steps: 8
• total_train_batch_size: 128
• total_eval_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: 3

Training results

Training Loss	Epoch	Step	Validation Loss
1.3253	0.5006	218	nan
0.8912	1.0011	436	nan
0.4228	1.5017	654	nan

Framework versions

• PEFT 0.12.0
• Transformers 4.44.2
• Pytorch 2.2.0
• Datasets 2.21.0
• Tokenizers 0.19.1