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twieland
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SUBTITLE_ja-en_helsinki

Text2Text Generation
Transformers
PyTorch
marian
generated_from_trainer
Inference Endpoints
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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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+ model-index:
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+ - name: SUBTITLE_ja-en_helsinki
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+ results: []
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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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+ # SUBTITLE_ja-en_helsinki
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+
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+ This model is a fine-tuned version of [Helsinki-NLP/opus-mt-ja-en](https://huggingface.co/Helsinki-NLP/opus-mt-ja-en) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 5.4097
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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: 0.0003
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+ - train_batch_size: 64
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+ - eval_batch_size: 64
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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: 2
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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 |
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+ |:-------------:|:-----:|:-----:|:---------------:|
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+ | 3.025 | 0.05 | 2000 | 5.1692 |
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+ | 2.9548 | 0.09 | 4000 | 5.7128 |
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+ | 2.8762 | 0.14 | 6000 | 5.9297 |
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+ | 2.821 | 0.18 | 8000 | 6.0415 |
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+ | 2.7826 | 0.23 | 10000 | 6.0416 |
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+ | 2.7386 | 0.27 | 12000 | 6.0069 |
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+ | 2.7036 | 0.32 | 14000 | 6.0192 |
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+ | 2.678 | 0.37 | 16000 | 5.9286 |
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+ | 2.6499 | 0.41 | 18000 | 5.9587 |
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+ | 2.6261 | 0.46 | 20000 | 5.9044 |
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+ | 2.6032 | 0.5 | 22000 | 5.8482 |
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+ | 2.5708 | 0.55 | 24000 | 5.7760 |
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+ | 2.5517 | 0.59 | 26000 | 5.7546 |
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+ | 2.5336 | 0.64 | 28000 | 5.7447 |
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+ | 2.5196 | 0.69 | 30000 | 5.7373 |
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+ | 2.4957 | 0.73 | 32000 | 5.6429 |
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+ | 2.483 | 0.78 | 34000 | 5.6874 |
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+ | 2.4599 | 0.82 | 36000 | 5.6482 |
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+ | 2.4468 | 0.87 | 38000 | 5.5951 |
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+ | 2.4344 | 0.92 | 40000 | 5.6355 |
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+ | 2.4223 | 0.96 | 42000 | 5.6135 |
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+ | 2.3878 | 1.01 | 44000 | 5.6164 |
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+ | 2.294 | 1.05 | 46000 | 5.5802 |
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+ | 2.2896 | 1.1 | 48000 | 5.5924 |
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+ | 2.2815 | 1.14 | 50000 | 5.5296 |
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+ | 2.2702 | 1.19 | 52000 | 5.5119 |
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+ | 2.2741 | 1.24 | 54000 | 5.4775 |
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+ | 2.2586 | 1.28 | 56000 | 5.4663 |
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+ | 2.2492 | 1.33 | 58000 | 5.4764 |
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+ | 2.2411 | 1.37 | 60000 | 5.4444 |
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+ | 2.2275 | 1.42 | 62000 | 5.4566 |
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+ | 2.218 | 1.46 | 64000 | 5.4845 |
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+ | 2.2086 | 1.51 | 66000 | 5.4681 |
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+ | 2.1976 | 1.56 | 68000 | 5.4775 |
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+ | 2.1877 | 1.6 | 70000 | 5.4619 |
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+ | 2.177 | 1.65 | 72000 | 5.4621 |
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+ | 2.1722 | 1.69 | 74000 | 5.4322 |
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+ | 2.1599 | 1.74 | 76000 | 5.4348 |
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+ | 2.1475 | 1.78 | 78000 | 5.4432 |
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+ | 2.1477 | 1.83 | 80000 | 5.4239 |
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+ | 2.134 | 1.88 | 82000 | 5.4182 |
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+ | 2.1302 | 1.92 | 84000 | 5.4089 |
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+ | 2.125 | 1.97 | 86000 | 5.4097 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.19.2
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+ - Pytorch 1.11.0+cu113
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+ - Datasets 2.2.2
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+ - Tokenizers 0.12.1