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t5-base-finetuned-it-to-en

Text2Text Generation
Transformers
PyTorch
t5
Generated from Trainer
Eval Results
text-generation-inference
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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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+ - ccmatrix
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+ metrics:
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+ - bleu
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+ model-index:
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+ - name: t5-base-finetuned-it-to-en
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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: ccmatrix
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+ type: ccmatrix
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+ config: en-it
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+ split: train[3000:12000]
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+ args: en-it
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+ metrics:
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+ - name: Bleu
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+ type: bleu
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+ value: 26.0557
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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-base-finetuned-it-to-en
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+
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+ This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the ccmatrix dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.7418
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+ - Bleu: 26.0557
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+ - Gen Len: 25.6033
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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: 2e-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: 40
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+ - mixed_precision_training: Native AMP
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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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+ | No log | 1.0 | 282 | 2.0555 | 16.8117 | 26.9573 |
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+ | 2.3228 | 2.0 | 564 | 1.9791 | 18.207 | 26.754 |
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+ | 2.3228 | 3.0 | 846 | 1.9340 | 19.2206 | 26.6513 |
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+ | 2.104 | 4.0 | 1128 | 1.8999 | 20.0802 | 26.5473 |
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+ | 2.104 | 5.0 | 1410 | 1.8741 | 20.9222 | 26.4633 |
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+ | 1.9952 | 6.0 | 1692 | 1.8511 | 21.3 | 26.4547 |
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+ | 1.9952 | 7.0 | 1974 | 1.8361 | 21.9444 | 26.5227 |
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+ | 1.9032 | 8.0 | 2256 | 1.8191 | 22.224 | 26.168 |
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+ | 1.8342 | 9.0 | 2538 | 1.8074 | 22.7097 | 26.1573 |
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+ | 1.8342 | 10.0 | 2820 | 1.7972 | 23.0299 | 26.2373 |
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+ | 1.7718 | 11.0 | 3102 | 1.7898 | 23.5173 | 26.0447 |
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+ | 1.7718 | 12.0 | 3384 | 1.7833 | 23.7157 | 26.0073 |
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+ | 1.7268 | 13.0 | 3666 | 1.7785 | 23.8523 | 25.742 |
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+ | 1.7268 | 14.0 | 3948 | 1.7725 | 23.979 | 25.88 |
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+ | 1.6822 | 15.0 | 4230 | 1.7686 | 24.2126 | 25.8347 |
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+ | 1.6386 | 16.0 | 4512 | 1.7639 | 24.4612 | 25.786 |
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+ | 1.6386 | 17.0 | 4794 | 1.7605 | 24.6716 | 25.828 |
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+ | 1.6047 | 18.0 | 5076 | 1.7549 | 24.9392 | 25.6493 |
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+ | 1.6047 | 19.0 | 5358 | 1.7548 | 24.8965 | 25.6527 |
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+ | 1.5778 | 20.0 | 5640 | 1.7537 | 24.9908 | 25.7827 |
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+ | 1.5778 | 21.0 | 5922 | 1.7498 | 25.1397 | 25.6707 |
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+ | 1.5413 | 22.0 | 6204 | 1.7472 | 25.2764 | 25.7373 |
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+ | 1.5413 | 23.0 | 6486 | 1.7468 | 25.3103 | 25.6927 |
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+ | 1.5249 | 24.0 | 6768 | 1.7471 | 25.3128 | 25.698 |
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+ | 1.5052 | 25.0 | 7050 | 1.7449 | 25.4046 | 25.6813 |
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+ | 1.5052 | 26.0 | 7332 | 1.7444 | 25.5513 | 25.7833 |
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+ | 1.4825 | 27.0 | 7614 | 1.7448 | 25.4756 | 25.632 |
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+ | 1.4825 | 28.0 | 7896 | 1.7432 | 25.6046 | 25.658 |
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+ | 1.4665 | 29.0 | 8178 | 1.7422 | 25.6138 | 25.6907 |
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+ | 1.4665 | 30.0 | 8460 | 1.7420 | 25.7196 | 25.7 |
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+ | 1.4508 | 31.0 | 8742 | 1.7420 | 25.8684 | 25.618 |
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+ | 1.4394 | 32.0 | 9024 | 1.7420 | 25.8188 | 25.6007 |
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+ | 1.4394 | 33.0 | 9306 | 1.7417 | 25.9295 | 25.6113 |
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+ | 1.4318 | 34.0 | 9588 | 1.7421 | 25.9842 | 25.614 |
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+ | 1.4318 | 35.0 | 9870 | 1.7408 | 26.1045 | 25.5933 |
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+ | 1.4244 | 36.0 | 10152 | 1.7409 | 26.0496 | 25.6327 |
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+ | 1.4244 | 37.0 | 10434 | 1.7417 | 26.0595 | 25.6347 |
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+ | 1.4139 | 38.0 | 10716 | 1.7420 | 26.0515 | 25.6047 |
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+ | 1.4139 | 39.0 | 10998 | 1.7417 | 26.0727 | 25.616 |
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+ | 1.4135 | 40.0 | 11280 | 1.7418 | 26.0557 | 25.6033 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.22.1
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+ - Pytorch 1.12.1
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+ - Datasets 2.5.1
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+ - Tokenizers 0.11.0