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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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