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--- |
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tags: |
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- generated_from_trainer |
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datasets: |
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- wmt16_en_ro_pre_processed |
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metrics: |
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- bleu |
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model-index: |
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- name: t5-tiny-random-length-96-learning_rate-0.0002-weight_decay-0.01-finetuned-en-to-ro |
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results: |
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- task: |
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name: Sequence-to-sequence Language Modeling |
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type: text2text-generation |
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dataset: |
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name: wmt16_en_ro_pre_processed |
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type: wmt16_en_ro_pre_processed |
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args: enro |
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metrics: |
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- name: Bleu |
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type: bleu |
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value: 0.0617 |
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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-tiny-random-length-96-learning_rate-0.0002-weight_decay-0.01-finetuned-en-to-ro |
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This model is a fine-tuned version of [patrickvonplaten/t5-tiny-random](https://huggingface.co/patrickvonplaten/t5-tiny-random) on the wmt16_en_ro_pre_processed dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 4.6426 |
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- Bleu: 0.0617 |
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- Gen Len: 8.9895 |
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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: 0.0002 |
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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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- 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: 8 |
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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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| 4.5828 | 1.0 | 76290 | 5.5397 | 0.0089 | 8.981 | |
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| 4.187 | 2.0 | 152580 | 5.2241 | 0.0172 | 8.989 | |
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| 3.9612 | 3.0 | 228870 | 5.0092 | 0.034 | 8.988 | |
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| 3.8151 | 4.0 | 305160 | 4.8688 | 0.0365 | 8.9865 | |
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| 3.7162 | 5.0 | 381450 | 4.7656 | 0.0469 | 8.9865 | |
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| 3.6498 | 6.0 | 457740 | 4.6874 | 0.0531 | 8.9885 | |
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| 3.6147 | 7.0 | 534030 | 4.6612 | 0.0585 | 8.9875 | |
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| 3.5972 | 8.0 | 610320 | 4.6426 | 0.0617 | 8.9895 | |
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### Framework versions |
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- Transformers 4.12.5 |
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- Pytorch 1.10.0+cu102 |
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- Datasets 1.15.1 |
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- Tokenizers 0.10.3 |
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