falcon-rewrite-560-smallset

This model is a fine-tuned version of tiiuae/falcon-7b on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 2.0876

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: 0.0005
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• 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

Training results

Training Loss	Epoch	Step	Validation Loss
7.2549	0.91	10	2.2123
3.7927	1.82	20	2.0876
3.6408	2.73	30	2.1308
7.1404	3.64	40	2.1195

Framework versions

• Transformers 4.32.1
• Pytorch 2.0.1
• Datasets 2.14.5
• Tokenizers 0.13.3