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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-base-pointer-mtop
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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-base-pointer-mtop
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This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1775
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- Exact Match: 0.5468
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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: 8
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 64
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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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| 1.7749 | 6.65 | 200 | 0.5892 | 0.0031 |
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| 0.6021 | 13.33 | 400 | 0.5160 | 0.0139 |
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| 0.6044 | 19.98 | 600 | 0.4080 | 0.0532 |
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| 0.3302 | 26.65 | 800 | 0.1865 | 0.3620 |
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| 0.1483 | 33.33 | 1000 | 0.1267 | 0.5105 |
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| 0.0768 | 39.98 | 1200 | 0.1131 | 0.5298 |
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| 0.0525 | 46.65 | 1400 | 0.1219 | 0.5414 |
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| 0.0801 | 53.33 | 1600 | 0.1186 | 0.5275 |
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| 0.0331 | 59.98 | 1800 | 0.1306 | 0.5423 |
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| 0.0254 | 66.65 | 2000 | 0.1396 | 0.5396 |
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| 0.0168 | 73.33 | 2200 | 0.1560 | 0.5436 |
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| 0.0129 | 79.98 | 2400 | 0.1659 | 0.5494 |
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| 0.0105 | 86.65 | 2600 | 0.1699 | 0.5423 |
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| 0.0088 | 93.33 | 2800 | 0.1742 | 0.5472 |
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| 0.0077 | 99.98 | 3000 | 0.1775 | 0.5468 |
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### Framework versions
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- Transformers 4.25.1
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- Pytorch 1.13.0+cu117
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- Datasets 2.7.1
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- Tokenizers 0.13.2
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