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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: 3.3963
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- Exact Match: 10.0
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- Gen Len: 3.9
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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: 20
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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 | 19.4103 | 0.0 | 19.0 |
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| 24.1098 | 2.0 | 14 | 16.1054 | 0.0 | 19.0 |
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| 18.4141 | 3.0 | 21 | 13.2155 | 0.0 | 19.0 |
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| 18.4141 | 4.0 | 28 | 10.5562 | 0.0 | 19.0 |
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| 14.3671 | 5.0 | 35 | 7.3648 | 0.0 | 18.68 |
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| 10.2783 | 6.0 | 42 | 5.4277 | 4.0 | 16.44 |
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| 10.2783 | 7.0 | 49 | 4.8687 | 18.0 | 7.88 |
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| 7.6519 | 8.0 | 56 | 4.4226 | 26.0 | 3.06 |
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| 5.7049 | 9.0 | 63 | 4.1797 | 28.0 | 3.06 |
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| 5.0241 | 10.0 | 70 | 4.0197 | 24.0 | 4.74 |
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| 5.0241 | 11.0 | 77 | 3.8360 | 8.0 | 7.58 |
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| 4.1884 | 12.0 | 84 | 3.7251 | 6.0 | 8.74 |
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| 3.3779 | 13.0 | 91 | 3.6448 | 6.0 | 6.94 |
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| 3.3779 | 14.0 | 98 | 3.5611 | 10.0 | 4.66 |
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| 3.149 | 15.0 | 105 | 3.4972 | 6.0 | 4.54 |
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| 3.1238 | 16.0 | 112 | 3.4741 | 8.0 | 3.8 |
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| 3.1238 | 17.0 | 119 | 3.4431 | 8.0 | 3.86 |
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| 3.2917 | 18.0 | 126 | 3.4290 | 10.0 | 3.88 |
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| 3.001 | 19.0 | 133 | 3.4080 | 10.0 | 3.9 |
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| 3.8795 | 20.0 | 140 | 3.3963 | 10.0 | 3.9 |
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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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