|
--- |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- accuracy |
|
model-index: |
|
- name: flan-t5-large-da-multiwoz2.1_fs0.01 |
|
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-large-da-multiwoz2.1_fs0.01 |
|
|
|
This model was trained from scratch on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.4733 |
|
- Accuracy: 35.7018 |
|
- Num: 3689 |
|
- Gen Len: 16.0656 |
|
|
|
## 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: 8 |
|
- eval_batch_size: 24 |
|
- seed: 1799 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 20 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Num | Gen Len | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:|:----:|:-------:| |
|
| 0.4198 | 2.6 | 200 | 0.4959 | 33.3159 | 3689 | 17.0976 | |
|
| 0.3487 | 5.19 | 400 | 0.5050 | 33.9202 | 3689 | 16.9694 | |
|
| 0.4306 | 7.79 | 600 | 0.4597 | 34.2354 | 3689 | 16.7612 | |
|
| 0.38 | 10.39 | 800 | 0.4668 | 35.3878 | 3689 | 16.5993 | |
|
| 0.3563 | 12.99 | 1000 | 0.4622 | 34.9845 | 3689 | 15.743 | |
|
| 0.3208 | 15.58 | 1200 | 0.4668 | 35.6226 | 3689 | 16.1944 | |
|
| 0.3137 | 18.18 | 1400 | 0.4733 | 35.7018 | 3689 | 16.0656 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.18.0 |
|
- Pytorch 1.10.0+cu111 |
|
- Datasets 2.5.1 |
|
- Tokenizers 0.12.1 |
|
|
