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---
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
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