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README.md
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---
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: flan-t5-large-da-multiwoz_250
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# flan-t5-large-da-multiwoz_250
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This model was trained from scratch on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3959
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- Accuracy: 38.8681
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- Num: 3689
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- Gen Len: 15.6736
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 8
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- eval_batch_size: 24
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- seed: 1799
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Num | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:----:|:-------:|
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| 0.4158 | 0.93 | 200 | 0.4439 | 34.537 | 3689 | 15.8452 |
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| 0.3487 | 1.86 | 400 | 0.4358 | 35.7656 | 3689 | 15.6495 |
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| 0.3596 | 2.79 | 600 | 0.4304 | 35.4046 | 3689 | 14.8946 |
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| 0.3676 | 3.72 | 800 | 0.4186 | 36.5036 | 3689 | 15.0016 |
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| 0.4259 | 4.65 | 1000 | 0.4082 | 36.491 | 3689 | 15.4118 |
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| 0.4005 | 5.58 | 1200 | 0.4039 | 37.4827 | 3689 | 15.8615 |
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| 0.3922 | 6.51 | 1400 | 0.4009 | 38.1076 | 3689 | 15.4286 |
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| 0.3656 | 7.44 | 1600 | 0.3998 | 38.8275 | 3689 | 15.7021 |
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| 0.3709 | 8.37 | 1800 | 0.3959 | 38.8681 | 3689 | 15.6736 |
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| 0.3564 | 9.3 | 2000 | 0.3981 | 38.6742 | 3689 | 15.8406 |
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### Framework versions
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- Transformers 4.18.0
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- Pytorch 1.10.0+cu111
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- Datasets 2.5.1
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- Tokenizers 0.12.1
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