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--- |
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library_name: transformers |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: t5-base-p-l-akk-en-20241108-111409 |
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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-base-p-l-akk-en-20241108-111409 |
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This model was trained from scratch on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6284 |
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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: 200 |
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- eval_batch_size: 200 |
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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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- lr_scheduler_warmup_steps: 2000 |
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- num_epochs: 25 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:------:|:---------------:| |
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| 1.0934 | 1.0 | 10362 | 1.0823 | |
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| 0.994 | 2.0 | 20724 | 0.9775 | |
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| 0.9285 | 3.0 | 31086 | 0.9139 | |
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| 0.8822 | 4.0 | 41448 | 0.8726 | |
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| 0.8421 | 5.0 | 51810 | 0.8348 | |
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| 0.8265 | 6.0 | 62172 | 0.8049 | |
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| 0.8011 | 7.0 | 72534 | 0.7857 | |
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| 0.7805 | 8.0 | 82896 | 0.7648 | |
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| 0.7617 | 9.0 | 93258 | 0.7466 | |
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| 0.7468 | 10.0 | 103620 | 0.7355 | |
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| 0.7297 | 11.0 | 113982 | 0.7178 | |
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| 0.7293 | 12.0 | 124344 | 0.7078 | |
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| 0.7112 | 13.0 | 134706 | 0.6956 | |
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| 0.7026 | 14.0 | 145068 | 0.6847 | |
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| 0.6923 | 15.0 | 155430 | 0.6775 | |
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| 0.6855 | 16.0 | 165792 | 0.6726 | |
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| 0.6816 | 17.0 | 176154 | 0.6639 | |
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| 0.6704 | 18.0 | 186516 | 0.6590 | |
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| 0.6652 | 19.0 | 196878 | 0.6481 | |
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| 0.6614 | 20.0 | 207240 | 0.6452 | |
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| 0.6527 | 21.0 | 217602 | 0.6408 | |
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| 0.6489 | 22.0 | 227964 | 0.6354 | |
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| 0.6476 | 23.0 | 238326 | 0.6325 | |
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| 0.6388 | 24.0 | 248688 | 0.6295 | |
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| 0.6384 | 25.0 | 259050 | 0.6284 | |
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### Framework versions |
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- Transformers 4.45.2 |
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- Pytorch 2.6.0.dev20241022+cu124 |
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- Datasets 3.0.1 |
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- Tokenizers 0.20.1 |
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