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t5-small-finetuned-en-to-ro-lr_2e-3-fp_false

Text2Text Generation
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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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+ datasets:
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+ - wmt16
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+ metrics:
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+ - bleu
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+ model-index:
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+ - name: t5-small-finetuned-en-to-ro-lr_2e-3-fp_false
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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
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+ type: wmt16
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+ args: ro-en
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+ metrics:
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+ - name: Bleu
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+ type: bleu
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+ value: 7.1921
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+ ---
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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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+
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+ # t5-small-finetuned-en-to-ro-lr_2e-3-fp_false
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+
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+ This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the wmt16 dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.4239
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+ - Bleu: 7.1921
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+ - Gen Len: 18.2611
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 0.002
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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: 1
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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+ |:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
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+ | 0.8922 | 0.05 | 2000 | 1.7000 | 6.5274 | 18.2656 |
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+ | 0.8621 | 0.1 | 4000 | 1.6409 | 6.6411 | 18.2311 |
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+ | 0.8433 | 0.16 | 6000 | 1.6396 | 6.6601 | 18.2596 |
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+ | 0.8297 | 0.21 | 8000 | 1.6304 | 6.7129 | 18.2581 |
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+ | 0.8006 | 0.26 | 10000 | 1.6022 | 6.6067 | 18.2816 |
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+ | 0.793 | 0.31 | 12000 | 1.5999 | 6.551 | 18.2631 |
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+ | 0.774 | 0.37 | 14000 | 1.5586 | 6.7105 | 18.2661 |
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+ | 0.7618 | 0.42 | 16000 | 1.5769 | 6.7278 | 18.2526 |
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+ | 0.7463 | 0.47 | 18000 | 1.5625 | 6.6972 | 18.2201 |
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+ | 0.7394 | 0.52 | 20000 | 1.5377 | 6.936 | 18.2491 |
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+ | 0.7203 | 0.58 | 22000 | 1.5191 | 7.0205 | 18.2731 |
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+ | 0.7158 | 0.63 | 24000 | 1.5055 | 6.835 | 18.2506 |
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+ | 0.688 | 0.68 | 26000 | 1.4779 | 7.0534 | 18.2716 |
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+ | 0.678 | 0.73 | 28000 | 1.4691 | 6.9735 | 18.2616 |
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+ | 0.6677 | 0.79 | 30000 | 1.4702 | 7.0359 | 18.2496 |
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+ | 0.6568 | 0.84 | 32000 | 1.4534 | 6.9982 | 18.2556 |
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+ | 0.6475 | 0.89 | 34000 | 1.4427 | 7.0443 | 18.2466 |
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+ | 0.6395 | 0.94 | 36000 | 1.4265 | 7.1205 | 18.2721 |
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+ | 0.6319 | 1.0 | 38000 | 1.4239 | 7.1921 | 18.2611 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.12.5
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+ - Pytorch 1.10.0+cu111
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+ - Datasets 1.16.1
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+ - Tokenizers 0.10.3