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--- |
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license: apache-2.0 |
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base_model: google/long-t5-tglobal-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-tglobal-base-finetuned-justification-v02 |
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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-tglobal-base-finetuned-justification-v02 |
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This model is a fine-tuned version of [google/long-t5-tglobal-base](https://huggingface.co/google/long-t5-tglobal-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: nan |
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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: 2e-07 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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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: 30 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| No log | 1.0 | 65 | nan | |
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| No log | 2.0 | 130 | nan | |
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| No log | 3.0 | 195 | nan | |
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| No log | 4.0 | 260 | nan | |
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| No log | 5.0 | 325 | nan | |
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| No log | 6.0 | 390 | nan | |
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| No log | 7.0 | 455 | nan | |
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| 22.0508 | 8.0 | 520 | nan | |
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| 22.0508 | 9.0 | 585 | nan | |
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| 22.0508 | 10.0 | 650 | nan | |
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| 22.0508 | 11.0 | 715 | nan | |
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| 22.0508 | 12.0 | 780 | nan | |
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| 22.0508 | 13.0 | 845 | nan | |
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| 22.0508 | 14.0 | 910 | nan | |
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| 22.0508 | 15.0 | 975 | nan | |
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| 0.0 | 16.0 | 1040 | nan | |
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| 0.0 | 17.0 | 1105 | nan | |
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| 0.0 | 18.0 | 1170 | nan | |
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| 0.0 | 19.0 | 1235 | nan | |
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| 0.0 | 20.0 | 1300 | nan | |
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| 0.0 | 21.0 | 1365 | nan | |
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| 0.0 | 22.0 | 1430 | nan | |
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| 0.0 | 23.0 | 1495 | nan | |
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| 0.0 | 24.0 | 1560 | nan | |
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| 0.0 | 25.0 | 1625 | nan | |
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| 0.0 | 26.0 | 1690 | nan | |
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| 0.0 | 27.0 | 1755 | nan | |
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| 0.0 | 28.0 | 1820 | nan | |
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| 0.0 | 29.0 | 1885 | nan | |
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| 0.0 | 30.0 | 1950 | nan | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.2.2+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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