File size: 2,720 Bytes
28c1eea |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 |
---
license: apache-2.0
base_model: t5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: seq2sparql
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# seq2sparql
This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: nan
- Rouge1: 0.0
- Rouge2: 0.0
- Rougel: 0.0
- Rougelsum: 0.0
- Gen Len: 0.0
## 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: 4e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:------:|:---------:|:-------:|
| 0.3521 | 0.08 | 1000 | 0.1646 | 32.2799 | 27.7633 | 32.293 | 32.2772 | 19.0 |
| 0.1979 | 0.15 | 2000 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 0.0 | 0.23 | 3000 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 0.0 | 0.31 | 4000 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 0.0 | 0.38 | 5000 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 0.0 | 0.46 | 6000 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 0.0 | 0.54 | 7000 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 0.0 | 0.62 | 8000 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 0.0 | 0.69 | 9000 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 0.0 | 0.77 | 10000 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 0.0 | 0.85 | 11000 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 0.0 | 0.92 | 12000 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| 0.0 | 1.0 | 13000 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
### Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
|