api_endpoint_extractor2

This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:

• Loss: 2.2063

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: 4
• eval_batch_size: 4
• seed: 42
• distributed_type: tpu
• 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: 5

Training results

Training Loss	Epoch	Step	Validation Loss
4.6998	1.0	21	3.1465
3.0677	2.0	42	2.5783
2.7289	3.0	63	2.3493
2.5835	4.0	84	2.2389
2.5329	5.0	105	2.2063

Framework versions

• Transformers 4.53.1
• Pytorch 2.6.0+cpu
• Datasets 4.0.0
• Tokenizers 0.21.2