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yesj1234
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mbart-mmt_7.4p_en-ko

Text2Text Generation
Transformers
PyTorch
English
Korean
mbart
Generated from Trainer
Inference Endpoints
Model card Files Community
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  1. .gitattributes +4 -0
  2. README.md +72 -0
  3. added_tokens.json +59 -0
  4. all_results.json +22 -0
  5. checkpoint-1500/added_tokens.json +59 -0
  6. checkpoint-1500/config.json +59 -0
  7. checkpoint-1500/generation_config.json +12 -0
  8. checkpoint-1500/optimizer.pt +3 -0
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  11. checkpoint-1500/rng_state_1.pth +3 -0
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  21. checkpoint-6000/added_tokens.json +59 -0
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  37. checkpoint-7500/added_tokens.json +59 -0
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.gitattributes CHANGED
@@ -33,3 +33,7 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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README.md ADDED
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+ ---
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+ language:
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+ - en
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+ - ko
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+ base_model: facebook/mbart-large-50-many-to-many-mmt
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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: tst-translation-output
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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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+ # tst-translation-output
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+
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+ This model is a fine-tuned version of [facebook/mbart-large-50-many-to-many-mmt](https://huggingface.co/facebook/mbart-large-50-many-to-many-mmt) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.5319
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+ - Bleu: 11.2991
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+ - Gen Len: 16.268
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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: 5e-05
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+ - train_batch_size: 4
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+ - eval_batch_size: 4
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+ - seed: 42
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+ - distributed_type: multi-GPU
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+ - num_devices: 4
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+ - total_train_batch_size: 16
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+ - total_eval_batch_size: 16
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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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+ - lr_scheduler_warmup_steps: 500
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+ - num_epochs: 40
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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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+ | 1.4354 | 1.12 | 1500 | 1.5319 | 11.2991 | 16.268 |
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+ | 0.9158 | 2.24 | 3000 | 1.5989 | 11.9085 | 16.3331 |
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+ | 0.4823 | 3.37 | 4500 | 1.7407 | 11.2452 | 15.771 |
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+ | 0.3005 | 4.49 | 6000 | 1.8923 | 11.0872 | 16.3668 |
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+ | 0.1969 | 5.61 | 7500 | 2.0164 | 11.449 | 15.8694 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.34.0
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+ - Pytorch 2.1.0+cu121
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+ - Datasets 2.14.5
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+ - Tokenizers 0.14.1
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