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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-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-base-pointer-top_v2
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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: 0.0257
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- Exact Match: 0.2377
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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: 4
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- eval_batch_size: 4
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- seed: 42
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- gradient_accumulation_steps: 128
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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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| 1.4545 | 0.82 | 200 | 0.2542 | 0.1294 |
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| 0.1878 | 1.65 | 400 | 0.0668 | 0.2128 |
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| 0.0796 | 2.47 | 600 | 0.0466 | 0.2276 |
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| 0.0536 | 3.29 | 800 | 0.0356 | 0.2309 |
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| 0.0424 | 4.12 | 1000 | 0.0317 | 0.2328 |
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| 0.0356 | 4.94 | 1200 | 0.0295 | 0.2340 |
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| 0.0306 | 5.76 | 1400 | 0.0288 | 0.2357 |
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| 0.0277 | 6.58 | 1600 | 0.0271 | 0.2351 |
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| 0.0243 | 7.41 | 1800 | 0.0272 | 0.2351 |
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| 0.0225 | 8.23 | 2000 | 0.0272 | 0.2353 |
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| 0.0206 | 9.05 | 2200 | 0.0267 | 0.2368 |
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| 0.0187 | 9.88 | 2400 | 0.0260 | 0.2367 |
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| 0.0173 | 10.7 | 2600 | 0.0256 | 0.2383 |
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| 0.0161 | 11.52 | 2800 | 0.0260 | 0.2383 |
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| 0.0153 | 12.35 | 3000 | 0.0257 | 0.2377 |
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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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