metadata
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: t5-small-finetuned-acbsql
results: []
t5-small-finetuned-acbsql
This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2372
- Rouge2 Precision: 0.4316
- Rouge2 Recall: 0.1587
- Rouge2 Fmeasure: 0.2284
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
|---|---|---|---|---|---|---|
| No log | 1.0 | 80 | 0.8580 | 0.0363 | 0.0134 | 0.0184 |
| No log | 2.0 | 160 | 0.3950 | 0.3302 | 0.1213 | 0.1741 |
| No log | 3.0 | 240 | 0.2827 | 0.4003 | 0.1499 | 0.2143 |
| No log | 4.0 | 320 | 0.2479 | 0.4308 | 0.1593 | 0.229 |
| No log | 5.0 | 400 | 0.2372 | 0.4316 | 0.1587 | 0.2284 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3