text-to-sparql-t5-base-2024-09-01_11-28
This model is a fine-tuned version of t5-base on the arrow dataset. It achieves the following results on the evaluation set:
- Loss: 0.1292
- Gen Len: 19.0
- Bertscorer-p: 0.6002
- Bertscorer-r: 0.1065
- Bertscorer-f1: 0.3419
- Sacrebleu-score: 6.1640
- Sacrebleu-precisions: [92.31534063748829, 84.93160766667017, 79.6643621245387, 75.5827850229174]
- Bleu-bp: 0.0744
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: 0.0003
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Gen Len | Bertscorer-p | Bertscorer-r | Bertscorer-f1 | Sacrebleu-score | Sacrebleu-precisions | Bleu-bp |
|---|---|---|---|---|---|---|---|---|---|---|
| 0.1458 | 1.0 | 4772 | 0.1292 | 19.0 | 0.6002 | 0.1065 | 0.3419 | 6.1640 | [92.31534063748829, 84.93160766667017, 79.6643621245387, 75.5827850229174] | 0.0744 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1