falcon_40b_qlora_sql_r64

This model is a fine-tuned version of tiiuae/falcon-40b on the spider dataset. It achieves the following results on the evaluation set:

• Loss: 0.1260

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: 0.0001
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 43.7
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
0.1845	0.23	100	0.2542
0.5572	0.46	200	0.2048
0.0779	0.69	300	0.1761
0.0581	0.91	400	0.1315

Framework versions

• Transformers 4.32.0.dev0
• Pytorch 2.0.1+cu118
• Datasets 2.13.1
• Tokenizers 0.13.3