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my-text-to-sparql-id-dataset-t5-base-2023-05-07_13-05
This model is a fine-tuned version of t5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3688
- Gen Len: 19.0
- Bertscorer-p: 0.5237
- Bertscorer-r: 0.1102
- Bertscorer-f1: 0.3086
- Sacrebleu-score: 6.2891
- Sacrebleu-precisions: [84.06716115669008, 72.35242038382418, 63.4694090158201, 56.6099340048628]
- Bleu-bp: 0.0920
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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Gen Len | Bertscorer-p | Bertscorer-r | Bertscorer-f1 | Sacrebleu-score | Sacrebleu-precisions | Bleu-bp |
|---|---|---|---|---|---|---|---|---|---|---|
| 0.4519 | 1.0 | 4807 | 0.4053 | 19.0 | 0.5199 | 0.1073 | 0.3053 | 6.2048 | [83.22938482428482, 70.73710359818344, 60.96104970742952, 53.50739713759192] | 0.0937 |
| 0.3799 | 2.0 | 9614 | 0.3688 | 19.0 | 0.5237 | 0.1102 | 0.3086 | 6.2891 | [84.06716115669008, 72.35242038382418, 63.4694090158201, 56.6099340048628] | 0.0920 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
