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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-small-vanilla-top_v2
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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-small-vanilla-top_v2
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This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0358
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- Exact Match: 0.4268
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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: 0.001
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- gradient_accumulation_steps: 32
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- total_train_batch_size: 512
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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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- training_steps: 3000
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Exact Match |
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|:-------------:|:-----:|:----:|:---------------:|:-----------:|
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| 1.8739 | 0.82 | 200 | 0.1319 | 0.2831 |
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| 0.1338 | 1.65 | 400 | 0.0670 | 0.3859 |
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| 0.0879 | 2.47 | 600 | 0.0568 | 0.4023 |
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| 0.0689 | 3.29 | 800 | 0.0478 | 0.4083 |
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| 0.059 | 4.12 | 1000 | 0.0457 | 0.4157 |
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| 0.0514 | 4.94 | 1200 | 0.0419 | 0.4178 |
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| 0.046 | 5.76 | 1400 | 0.0398 | 0.4202 |
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| 0.0422 | 6.58 | 1600 | 0.0396 | 0.4220 |
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| 0.0386 | 7.41 | 1800 | 0.0386 | 0.4221 |
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| 0.0366 | 8.23 | 2000 | 0.0384 | 0.4233 |
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| 0.0346 | 9.05 | 2200 | 0.0370 | 0.4249 |
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| 0.0322 | 9.88 | 2400 | 0.0362 | 0.4253 |
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| 0.0306 | 10.7 | 2600 | 0.0371 | 0.4258 |
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| 0.0297 | 11.52 | 2800 | 0.0361 | 0.4266 |
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| 0.029 | 12.35 | 3000 | 0.0358 | 0.4268 |
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### Framework versions
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- Transformers 4.24.0
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- Pytorch 1.13.0+cu117
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- Datasets 2.7.0
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- Tokenizers 0.13.2
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