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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-pointer-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-pointer-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: 0.0306
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- Exact Match: 0.2327
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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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| 1.9316 | 0.82 | 200 | 0.4566 | 0.0084 |
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| 0.3713 | 1.65 | 400 | 0.1473 | 0.1230 |
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| 0.1747 | 2.47 | 600 | 0.0788 | 0.1984 |
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| 0.1104 | 3.29 | 800 | 0.0568 | 0.2149 |
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| 0.0842 | 4.12 | 1000 | 0.0473 | 0.2217 |
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| 0.0694 | 4.94 | 1200 | 0.0426 | 0.2260 |
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| 0.0603 | 5.76 | 1400 | 0.0383 | 0.2279 |
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| 0.0534 | 6.58 | 1600 | 0.0367 | 0.2281 |
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| 0.0477 | 7.41 | 1800 | 0.0347 | 0.2301 |
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| 0.0441 | 8.23 | 2000 | 0.0334 | 0.2314 |
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| 0.0413 | 9.05 | 2200 | 0.0323 | 0.2315 |
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| 0.0387 | 9.88 | 2400 | 0.0316 | 0.2316 |
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| 0.0366 | 10.7 | 2600 | 0.0311 | 0.2324 |
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| 0.0358 | 11.52 | 2800 | 0.0307 | 0.2324 |
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| 0.0343 | 12.35 | 3000 | 0.0306 | 0.2327 |
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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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