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---
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license: apache-2.0
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base_model: google/long-t5-local-base
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tags:
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- generated_from_trainer
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model-index:
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- name: long-t5-local-base-ARv1
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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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# long-t5-local-base-ARv1
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This model is a fine-tuned version of [google/long-t5-local-base](https://huggingface.co/google/long-t5-local-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.9303
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- Exact Match: 18.0
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- Gen Len: 3.38
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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: 8
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- eval_batch_size: 8
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- seed: 42
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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: 60
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Exact Match | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:-----------:|:-------:|
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| No log | 1.0 | 7 | 3.4004 | 14.0 | 3.86 |
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| 2.7206 | 2.0 | 14 | 3.1925 | 8.0 | 3.66 |
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| 2.6501 | 3.0 | 21 | 2.9867 | 8.0 | 3.7 |
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| 2.6501 | 4.0 | 28 | 2.8576 | 12.0 | 4.58 |
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| 1.9849 | 5.0 | 35 | 2.9078 | 12.0 | 4.52 |
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| 2.0193 | 6.0 | 42 | 2.8173 | 8.0 | 3.84 |
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| 2.0193 | 7.0 | 49 | 2.7735 | 16.0 | 3.42 |
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| 1.6108 | 8.0 | 56 | 2.5993 | 12.0 | 3.82 |
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| 1.8323 | 9.0 | 63 | 2.5879 | 12.0 | 3.92 |
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| 1.4861 | 10.0 | 70 | 2.7203 | 16.0 | 3.4 |
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| 1.4861 | 11.0 | 77 | 2.9902 | 24.0 | 3.1 |
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| 1.425 | 12.0 | 84 | 2.7667 | 14.0 | 3.36 |
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| 1.0387 | 13.0 | 91 | 2.6547 | 18.0 | 3.42 |
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| 1.0387 | 14.0 | 98 | 2.7072 | 18.0 | 3.34 |
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| 1.0793 | 15.0 | 105 | 2.8158 | 12.0 | 3.58 |
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| 1.1969 | 16.0 | 112 | 2.9404 | 14.0 | 3.32 |
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| 1.1969 | 17.0 | 119 | 2.8512 | 14.0 | 3.3 |
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| 1.15 | 18.0 | 126 | 2.7513 | 18.0 | 3.68 |
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| 1.2024 | 19.0 | 133 | 2.7124 | 16.0 | 3.48 |
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| 1.3331 | 20.0 | 140 | 2.7484 | 16.0 | 3.4 |
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| 1.3331 | 21.0 | 147 | 2.8289 | 18.0 | 3.44 |
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| 1.1469 | 22.0 | 154 | 2.9873 | 14.0 | 3.36 |
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| 1.5639 | 23.0 | 161 | 3.0321 | 18.0 | 3.4 |
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| 1.5639 | 24.0 | 168 | 3.0117 | 14.0 | 3.3 |
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| 0.8542 | 25.0 | 175 | 2.8331 | 16.0 | 3.34 |
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| 0.9789 | 26.0 | 182 | 2.7876 | 20.0 | 3.36 |
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| 0.9789 | 27.0 | 189 | 2.7820 | 20.0 | 3.36 |
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| 0.8853 | 28.0 | 196 | 2.8082 | 18.0 | 3.38 |
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| 0.9126 | 29.0 | 203 | 2.8316 | 16.0 | 3.36 |
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| 1.0543 | 30.0 | 210 | 2.8449 | 18.0 | 3.64 |
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| 1.0543 | 31.0 | 217 | 2.8034 | 8.0 | 3.62 |
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| 1.0683 | 32.0 | 224 | 2.8115 | 14.0 | 3.46 |
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| 0.951 | 33.0 | 231 | 2.9019 | 18.0 | 3.34 |
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| 0.951 | 34.0 | 238 | 3.0115 | 18.0 | 3.24 |
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| 0.8315 | 35.0 | 245 | 3.0392 | 18.0 | 3.24 |
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| 1.1548 | 36.0 | 252 | 3.0643 | 18.0 | 3.36 |
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| 1.1548 | 37.0 | 259 | 3.0031 | 16.0 | 3.42 |
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| 0.7813 | 38.0 | 266 | 2.9801 | 18.0 | 3.48 |
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| 0.671 | 39.0 | 273 | 2.9622 | 18.0 | 3.48 |
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| 1.1771 | 40.0 | 280 | 2.9049 | 18.0 | 3.46 |
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| 1.1771 | 41.0 | 287 | 2.9042 | 20.0 | 3.56 |
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| 0.5959 | 42.0 | 294 | 2.9598 | 18.0 | 3.48 |
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| 1.1583 | 43.0 | 301 | 2.9936 | 18.0 | 3.44 |
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| 1.1583 | 44.0 | 308 | 3.0072 | 18.0 | 3.44 |
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| 0.5728 | 45.0 | 315 | 3.0003 | 18.0 | 3.44 |
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| 0.7237 | 46.0 | 322 | 3.0093 | 16.0 | 3.4 |
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| 0.7237 | 47.0 | 329 | 2.9688 | 18.0 | 3.42 |
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| 0.7295 | 48.0 | 336 | 2.9533 | 18.0 | 3.38 |
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| 0.5627 | 49.0 | 343 | 2.9357 | 18.0 | 3.36 |
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| 0.6489 | 50.0 | 350 | 2.9317 | 18.0 | 3.4 |
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| 0.6489 | 51.0 | 357 | 2.9339 | 18.0 | 3.4 |
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| 1.0427 | 52.0 | 364 | 2.9256 | 18.0 | 3.4 |
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| 0.9156 | 53.0 | 371 | 2.9220 | 18.0 | 3.4 |
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| 0.9156 | 54.0 | 378 | 2.9091 | 18.0 | 3.38 |
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| 0.4748 | 55.0 | 385 | 2.9036 | 18.0 | 3.36 |
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| 0.5616 | 56.0 | 392 | 2.8998 | 18.0 | 3.36 |
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| 0.5616 | 57.0 | 399 | 2.9128 | 18.0 | 3.36 |
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| 0.4836 | 58.0 | 406 | 2.9205 | 18.0 | 3.36 |
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| 0.6498 | 59.0 | 413 | 2.9282 | 18.0 | 3.36 |
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| 0.615 | 60.0 | 420 | 2.9303 | 18.0 | 3.38 |
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### Framework versions
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- Transformers 4.41.0
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- Pytorch 2.2.1
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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