build_your_circuit_lora_v3

This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.5612
• Bleu: 0.5934

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: 5e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 20
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu
0.7731	0.2211	500	0.6249	0.5426
0.755	0.4423	1000	0.6122	0.5651
0.7409	0.6634	1500	0.6052	0.5805
0.7283	0.8846	2000	0.5954	0.5881
0.7189	1.1057	2500	0.5888	0.6041
0.7068	1.3268	3000	0.5793	0.5852
0.6969	1.5480	3500	0.5710	0.5938
0.6868	1.7691	4000	0.5666	0.5882
0.6811	1.9903	4500	0.5612	0.5934

Framework versions

• PEFT 0.15.2
• Transformers 4.56.1
• Pytorch 2.6.0+cu124
• Datasets 3.6.0
• Tokenizers 0.22.0