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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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metrics: |
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- bleu |
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model-index: |
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- name: t5-small-finetuned-TEC-to-eng |
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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-finetuned-TEC-to-eng |
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.1228 |
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- Bleu: 59.1533 |
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- Gen Len: 13.6042 |
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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-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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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: 15 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:| |
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| No log | 1.0 | 9 | 1.2883 | 27.8113 | 14.5417 | |
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| No log | 2.0 | 18 | 1.2612 | 36.077 | 14.0833 | |
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| No log | 3.0 | 27 | 1.2353 | 46.0316 | 14.0208 | |
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| No log | 4.0 | 36 | 1.2140 | 46.7401 | 13.9583 | |
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| No log | 5.0 | 45 | 1.1939 | 53.5996 | 13.6667 | |
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| No log | 6.0 | 54 | 1.1780 | 57.126 | 13.6042 | |
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| No log | 7.0 | 63 | 1.1663 | 57.2237 | 13.6042 | |
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| No log | 8.0 | 72 | 1.1559 | 59.1533 | 13.6042 | |
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| No log | 9.0 | 81 | 1.1477 | 59.1533 | 13.6042 | |
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| No log | 10.0 | 90 | 1.1396 | 59.1533 | 13.6042 | |
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| No log | 11.0 | 99 | 1.1317 | 59.1533 | 13.6042 | |
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| 1.1496 | 12.0 | 108 | 1.1277 | 59.1533 | 13.6042 | |
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| 1.1496 | 13.0 | 117 | 1.1250 | 59.1533 | 13.6042 | |
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| 1.1496 | 14.0 | 126 | 1.1233 | 59.1533 | 13.6042 | |
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| 1.1496 | 15.0 | 135 | 1.1228 | 59.1533 | 13.6042 | |
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### Framework versions |
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- Transformers 4.26.1 |
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- Pytorch 1.13.1+cu116 |
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- Datasets 2.10.1 |
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- Tokenizers 0.13.2 |
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