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---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: flan-t5-large-da-multiwoz_500
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-multiwoz_500
This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co./google/flan-t5-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3826
- Accuracy: 37.4297
- Num: 3689
- Gen Len: 16.4142
## 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: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Num | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:----:|:-------:|
| 1.3527 | 0.47 | 200 | 0.5645 | 25.0872 | 3689 | 12.6606 |
| 0.6276 | 0.93 | 400 | 0.4722 | 31.0261 | 3689 | 15.3814 |
| 0.539 | 1.4 | 600 | 0.4367 | 34.1584 | 3689 | 15.8056 |
| 0.5087 | 1.86 | 800 | 0.4164 | 35.1677 | 3689 | 15.6544 |
| 0.4633 | 2.33 | 1000 | 0.4112 | 34.1615 | 3689 | 15.7842 |
| 0.463 | 2.79 | 1200 | 0.3961 | 36.5992 | 3689 | 16.4803 |
| 0.4437 | 3.26 | 1400 | 0.3895 | 36.7915 | 3689 | 16.5259 |
| 0.4328 | 3.72 | 1600 | 0.3874 | 36.7043 | 3689 | 16.2385 |
| 0.4189 | 4.19 | 1800 | 0.3826 | 37.4297 | 3689 | 16.4142 |
| 0.4239 | 4.65 | 2000 | 0.3804 | 37.2685 | 3689 | 16.2329 |
### Framework versions
- Transformers 4.18.0
- Pytorch 1.10.0+cu111
- Datasets 2.5.1
- Tokenizers 0.12.1
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