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--- |
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license: apache-2.0 |
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base_model: google/flan-t5-large |
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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-flan-t5-xl-fine-tuning-for-translation |
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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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# HeavenlyJoe/flan-t5-large-eng-tgl-translation |
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This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co/google/flan-t5-large) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.3378 |
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- Bleu: 0.4953 |
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- Gen Len: 19.0 |
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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: 4e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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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: 10 |
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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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| 1.9527 | 0.44 | 25 | 1.5761 | 0.2146 | 19.0 | |
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| 1.8866 | 0.88 | 50 | 1.5303 | 0.293 | 19.0 | |
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| 1.8045 | 1.32 | 75 | 1.5092 | 0.2499 | 19.0 | |
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| 1.7596 | 1.75 | 100 | 1.4840 | 0.3498 | 19.0 | |
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| 1.7354 | 2.19 | 125 | 1.4628 | 0.3282 | 19.0 | |
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| 1.6866 | 2.63 | 150 | 1.4437 | 0.3205 | 19.0 | |
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| 1.6605 | 3.07 | 175 | 1.4275 | 0.3781 | 19.0 | |
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| 1.6157 | 3.51 | 200 | 1.4177 | 0.3805 | 19.0 | |
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| 1.6237 | 3.95 | 225 | 1.4007 | 0.398 | 19.0 | |
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| 1.5948 | 4.39 | 250 | 1.3954 | 0.4022 | 19.0 | |
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| 1.5555 | 4.82 | 275 | 1.3866 | 0.3854 | 19.0 | |
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| 1.5388 | 5.26 | 300 | 1.3761 | 0.4105 | 19.0 | |
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| 1.5448 | 5.7 | 325 | 1.3712 | 0.4339 | 19.0 | |
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| 1.5149 | 6.14 | 350 | 1.3635 | 0.4342 | 19.0 | |
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| 1.5104 | 6.58 | 375 | 1.3566 | 0.459 | 19.0 | |
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| 1.4955 | 7.02 | 400 | 1.3525 | 0.4888 | 19.0 | |
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| 1.467 | 7.46 | 425 | 1.3491 | 0.4723 | 19.0 | |
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| 1.4872 | 7.89 | 450 | 1.3440 | 0.491 | 19.0 | |
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| 1.4766 | 8.33 | 475 | 1.3423 | 0.5183 | 19.0 | |
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| 1.4553 | 8.77 | 500 | 1.3404 | 0.5026 | 19.0 | |
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| 1.464 | 9.21 | 525 | 1.3384 | 0.4979 | 19.0 | |
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| 1.454 | 9.65 | 550 | 1.3378 | 0.4953 | 19.0 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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