Jais-AOU

This model is a fine-tuned version of inceptionai/jais-family-590m-chat on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.7540

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: 2e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 50
• num_epochs: 12
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
1.1215	1.7699	50	1.1407
0.5782	3.5398	100	0.8883
0.3542	5.3097	150	0.7643
0.2372	7.0796	200	0.7418
0.203	8.8496	250	0.7372
0.1891	10.6195	300	0.7540

Framework versions

• Transformers 4.45.2
• Pytorch 2.4.0
• Datasets 3.0.1
• Tokenizers 0.20.0