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This model is a fine-tuned version of Rocketknight1/falcon-rw-1b on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.8665

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: 8
• 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: 4
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.9436	0.99	77	0.9068
0.9483	1.99	155	0.8784
0.9389	2.99	233	0.8690
0.9254	3.96	308	0.8665

Framework versions

• PEFT 0.7.1
• Transformers 4.36.1
• Pytorch 2.0.0+cu117
• Datasets 2.18.0
• Tokenizers 0.15.2