|
--- |
|
license: apache-2.0 |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- squad_v2_sv |
|
model-index: |
|
- name: flan-t5-base-squad-swe2 |
|
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. --> |
|
|
|
# flan-t5-base-squad-swe2 |
|
|
|
This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the squad_v2_sv dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.4248 |
|
|
|
## 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: 32 |
|
- eval_batch_size: 32 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 4 |
|
- total_train_batch_size: 128 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 10 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| 2.0881 | 1.0 | 890 | 1.6422 | |
|
| 1.7772 | 2.0 | 1780 | 1.5586 | |
|
| 1.6763 | 3.0 | 2670 | 1.5153 | |
|
| 1.6215 | 4.0 | 3560 | 1.4852 | |
|
| 1.5912 | 5.0 | 4450 | 1.4629 | |
|
| 1.5651 | 6.0 | 5340 | 1.4481 | |
|
| 1.5407 | 7.0 | 6230 | 1.4374 | |
|
| 1.5278 | 8.0 | 7120 | 1.4308 | |
|
| 1.5137 | 9.0 | 8010 | 1.4269 | |
|
| 1.5116 | 10.0 | 8900 | 1.4248 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.25.1 |
|
- Pytorch 1.13.0+cu116 |
|
- Datasets 2.8.0 |
|
- Tokenizers 0.13.2 |
|
|
