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--- |
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license: apache-2.0 |
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base_model: google/long-t5-tglobal-xl |
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tags: |
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- generated_from_trainer |
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datasets: |
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- tau/scrolls |
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model-index: |
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- name: longt5_xl_sfd_4096_e10 |
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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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# longt5_xl_sfd_4096_e10 |
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This model is a fine-tuned version of [google/long-t5-tglobal-xl](https://huggingface.co/google/long-t5-tglobal-xl) on the tau/scrolls summ_screen_fd dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.3255 |
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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: 0.001 |
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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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- gradient_accumulation_steps: 32 |
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- total_train_batch_size: 256 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: constant |
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- num_epochs: 10.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 3.0332 | 0.97 | 14 | 2.5424 | |
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| 2.4105 | 1.95 | 28 | 2.3255 | |
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| 2.0496 | 2.99 | 43 | 2.3420 | |
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| 1.7473 | 3.97 | 57 | 2.3520 | |
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| 1.4007 | 4.94 | 71 | 2.4980 | |
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| 1.3809 | 5.98 | 86 | 2.4785 | |
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| 1.1153 | 6.96 | 100 | 2.7326 | |
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| 0.9129 | 8.0 | 115 | 2.9232 | |
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| 0.7118 | 8.97 | 129 | 3.0476 | |
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| 0.5883 | 9.74 | 140 | 3.3644 | |
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### Framework versions |
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- Transformers 4.34.0.dev0 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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