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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-text-simplification_1e4_adafactor |
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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-text-simplification_1e4_adafactor |
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4541 |
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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: 0.0001 |
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- train_batch_size: 256 |
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- eval_batch_size: 256 |
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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 | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 0.8842 | 1.0 | 582 | 0.4651 | |
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| 0.5737 | 2.0 | 1164 | 0.4611 | |
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| 0.5559 | 3.0 | 1746 | 0.4585 | |
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| 0.548 | 4.0 | 2328 | 0.4573 | |
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| 0.541 | 5.0 | 2910 | 0.4565 | |
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| 0.5349 | 6.0 | 3492 | 0.4564 | |
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| 0.5257 | 7.0 | 4074 | 0.4552 | |
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| 0.5223 | 8.0 | 4656 | 0.4558 | |
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| 0.5185 | 9.0 | 5238 | 0.4550 | |
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| 0.5145 | 10.0 | 5820 | 0.4544 | |
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| 0.5166 | 11.0 | 6402 | 0.4551 | |
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| 0.5104 | 12.0 | 6984 | 0.4546 | |
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| 0.5089 | 13.0 | 7566 | 0.4547 | |
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| 0.5054 | 14.0 | 8148 | 0.4544 | |
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| 0.5047 | 15.0 | 8730 | 0.4544 | |
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| 0.5043 | 16.0 | 9312 | 0.4537 | |
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| 0.5021 | 17.0 | 9894 | 0.4539 | |
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| 0.5034 | 18.0 | 10476 | 0.4539 | |
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| 0.5008 | 19.0 | 11058 | 0.4541 | |
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| 0.5003 | 20.0 | 11640 | 0.4541 | |
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### Framework versions |
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- Transformers 4.30.2 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.13.1 |
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- Tokenizers 0.13.3 |
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