GenAI-task2-ModelC-DS

This model is a fine-tuned version of petals-team/falcon-rw-1b on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.5324

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: 1
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 2
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.01
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss
1.7726	0.0196	20	1.5110
2.32	0.0393	40	1.4943
2.2059	0.0589	60	1.4992
1.7591	0.0785	80	1.4951
1.9699	0.0982	100	1.5324

Framework versions

• PEFT 0.10.0
• Transformers 4.40.0
• Pytorch 2.2.1+cu121
• Datasets 2.19.0
• Tokenizers 0.19.1