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--- |
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license: apache-2.0 |
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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_500 |
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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_500 |
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This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co./google/flan-t5-large) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3826 |
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- Accuracy: 37.4297 |
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- Num: 3689 |
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- Gen Len: 16.4142 |
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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: 5 |
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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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| 1.3527 | 0.47 | 200 | 0.5645 | 25.0872 | 3689 | 12.6606 | |
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| 0.6276 | 0.93 | 400 | 0.4722 | 31.0261 | 3689 | 15.3814 | |
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| 0.539 | 1.4 | 600 | 0.4367 | 34.1584 | 3689 | 15.8056 | |
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| 0.5087 | 1.86 | 800 | 0.4164 | 35.1677 | 3689 | 15.6544 | |
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| 0.4633 | 2.33 | 1000 | 0.4112 | 34.1615 | 3689 | 15.7842 | |
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| 0.463 | 2.79 | 1200 | 0.3961 | 36.5992 | 3689 | 16.4803 | |
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| 0.4437 | 3.26 | 1400 | 0.3895 | 36.7915 | 3689 | 16.5259 | |
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| 0.4328 | 3.72 | 1600 | 0.3874 | 36.7043 | 3689 | 16.2385 | |
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| 0.4189 | 4.19 | 1800 | 0.3826 | 37.4297 | 3689 | 16.4142 | |
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| 0.4239 | 4.65 | 2000 | 0.3804 | 37.2685 | 3689 | 16.2329 | |
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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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