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README.md
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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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model-index:
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- name: t5-large-multiwoz
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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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# t5-large-multiwoz
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This model is a fine-tuned version of [t5-large](https://huggingface.co/t5-large) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0064
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- Acc: 1.0
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- True Num: 56671
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- Num: 56776
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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: 5e-05
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 42
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- gradient_accumulation_steps: 16
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- total_train_batch_size: 64
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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: 10.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Acc | True Num | Num |
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|:-------------:|:-----:|:----:|:---------------:|:----:|:--------:|:-----:|
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| 0.1261 | 1.13 | 1000 | 0.0933 | 0.98 | 55574 | 56776 |
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| 0.0951 | 2.25 | 2000 | 0.0655 | 0.98 | 55867 | 56776 |
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| 0.0774 | 3.38 | 3000 | 0.0480 | 0.99 | 56047 | 56776 |
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| 0.0584 | 4.51 | 4000 | 0.0334 | 0.99 | 56252 | 56776 |
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| 0.042 | 5.64 | 5000 | 0.0222 | 0.99 | 56411 | 56776 |
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| 0.0329 | 6.76 | 6000 | 0.0139 | 1.0 | 56502 | 56776 |
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| 0.0254 | 7.89 | 7000 | 0.0094 | 1.0 | 56626 | 56776 |
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| 0.0214 | 9.02 | 8000 | 0.0070 | 1.0 | 56659 | 56776 |
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### Framework versions
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- Transformers 4.12.5
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- Pytorch 1.10.0+cu102
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- Datasets 1.15.1
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- Tokenizers 0.10.3
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