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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-finetuned-justification-v08 |
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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-finetuned-justification-v08 |
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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: 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: 3e-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: 50 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 5.1991 | 1.0 | 676 | nan | |
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| 0.0 | 2.0 | 1352 | nan | |
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| 0.0 | 3.0 | 2028 | nan | |
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| 0.0 | 4.0 | 2704 | nan | |
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| 0.0 | 5.0 | 3380 | nan | |
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| 0.0 | 6.0 | 4056 | nan | |
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| 0.0 | 7.0 | 4732 | nan | |
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| 0.0 | 8.0 | 5408 | nan | |
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| 0.0 | 9.0 | 6084 | nan | |
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| 0.0 | 10.0 | 6760 | nan | |
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| 0.0 | 11.0 | 7436 | nan | |
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| 0.0 | 12.0 | 8112 | nan | |
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| 0.0 | 13.0 | 8788 | nan | |
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| 0.0 | 14.0 | 9464 | nan | |
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| 0.0 | 15.0 | 10140 | nan | |
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| 0.0 | 16.0 | 10816 | nan | |
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| 0.0 | 17.0 | 11492 | nan | |
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| 0.0 | 18.0 | 12168 | nan | |
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| 0.0 | 19.0 | 12844 | nan | |
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| 0.0 | 20.0 | 13520 | nan | |
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| 0.0 | 21.0 | 14196 | nan | |
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| 0.0 | 22.0 | 14872 | nan | |
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| 0.0 | 23.0 | 15548 | nan | |
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| 0.0 | 24.0 | 16224 | nan | |
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| 0.0 | 25.0 | 16900 | nan | |
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| 0.0 | 26.0 | 17576 | nan | |
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| 0.0 | 27.0 | 18252 | nan | |
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| 0.0 | 28.0 | 18928 | nan | |
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| 0.0 | 29.0 | 19604 | nan | |
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| 0.0 | 30.0 | 20280 | nan | |
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| 0.0 | 31.0 | 20956 | nan | |
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| 0.0 | 32.0 | 21632 | nan | |
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| 0.0 | 33.0 | 22308 | nan | |
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| 0.0 | 34.0 | 22984 | nan | |
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| 0.0 | 35.0 | 23660 | nan | |
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| 0.0 | 36.0 | 24336 | nan | |
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| 0.0 | 37.0 | 25012 | nan | |
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| 0.0 | 38.0 | 25688 | nan | |
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| 0.0 | 39.0 | 26364 | nan | |
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| 0.0 | 40.0 | 27040 | nan | |
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| 0.0 | 41.0 | 27716 | nan | |
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| 0.0 | 42.0 | 28392 | nan | |
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| 0.0 | 43.0 | 29068 | nan | |
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| 0.0 | 44.0 | 29744 | nan | |
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| 0.0 | 45.0 | 30420 | nan | |
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| 0.0 | 46.0 | 31096 | nan | |
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| 0.0 | 47.0 | 31772 | nan | |
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| 0.0 | 48.0 | 32448 | nan | |
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| 0.0 | 49.0 | 33124 | nan | |
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| 0.0 | 50.0 | 33800 | nan | |
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### Framework versions |
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- Transformers 4.39.3 |
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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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