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marianMT_hin_eng_cs

Text2Text Generation
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marian
Generated from Trainer
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  1. README.md +85 -0
  2. generation_config.json +16 -0
  3. runs/Aug17_02-56-40_e2e-68-229/events.out.tfevents.1723877827.e2e-68-229 +2 -2
  4. runs/Aug17_09-33-09_e2e-68-229/events.out.tfevents.1723901621.e2e-68-229 +3 -0
  5. training_args.bin +1 -1
README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: apache-2.0
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+ base_model: Helsinki-NLP/opus-mt-mul-en
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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: marianMT_hin_eng_cs
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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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+ # marianMT_hin_eng_cs
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+
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+ This model is a fine-tuned version of [Helsinki-NLP/opus-mt-mul-en](https://huggingface.co/Helsinki-NLP/opus-mt-mul-en) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Bleu: 78.0784
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+ - Gen Len: 74.6804
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+ - Loss: 0.1472
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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: 50
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+ - eval_batch_size: 50
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+ - seed: 42
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+ - distributed_type: multi-GPU
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+ - num_devices: 2
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+ - total_train_batch_size: 100
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+ - total_eval_batch_size: 100
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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: 30.0
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Bleu | Gen Len | Validation Loss |
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+ |:-------------:|:-----:|:-----:|:-------:|:-------:|:---------------:|
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+ | 1.5823 | 1.0 | 1118 | 11.6257 | 77.1622 | 1.1778 |
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+ | 0.921 | 2.0 | 2236 | 33.2917 | 76.1459 | 0.6357 |
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+ | 0.6472 | 3.0 | 3354 | 47.3533 | 75.9194 | 0.4504 |
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+ | 0.5246 | 4.0 | 4472 | 55.2169 | 75.6871 | 0.3579 |
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+ | 0.4228 | 5.0 | 5590 | 60.8262 | 75.5777 | 0.3041 |
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+ | 0.3745 | 6.0 | 6708 | 64.8987 | 75.4424 | 0.2693 |
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+ | 0.3552 | 7.0 | 7826 | 67.7607 | 75.2438 | 0.2455 |
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+ | 0.3324 | 8.0 | 8944 | 69.635 | 75.1036 | 0.2274 |
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+ | 0.2912 | 9.0 | 10062 | 71.3086 | 75.0326 | 0.2117 |
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+ | 0.2591 | 10.0 | 11180 | 72.392 | 74.9607 | 0.2001 |
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+ | 0.2471 | 11.0 | 12298 | 73.4758 | 74.9251 | 0.1899 |
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+ | 0.236 | 12.0 | 13416 | 74.4219 | 74.833 | 0.1822 |
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+ | 0.2265 | 13.0 | 14534 | 75.1435 | 74.9069 | 0.1745 |
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+ | 0.2152 | 14.0 | 15652 | 75.7614 | 74.7409 | 0.1695 |
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+ | 0.2078 | 15.0 | 16770 | 76.2353 | 74.7092 | 0.1641 |
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+ | 0.2048 | 16.0 | 17888 | 76.7381 | 74.7274 | 0.1593 |
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+ | 0.1975 | 17.0 | 19006 | 76.9954 | 74.7217 | 0.1559 |
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+ | 0.1943 | 18.0 | 20124 | 77.421 | 74.6641 | 0.1524 |
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+ | 0.1987 | 19.0 | 21242 | 77.8231 | 74.6833 | 0.1495 |
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+ | 0.1855 | 20.0 | 22360 | 78.0784 | 74.6804 | 0.1472 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.45.0.dev0
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+ - Pytorch 2.4.0+cu121
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+ - Datasets 2.21.0
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+ - Tokenizers 0.19.1
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+ "forced_eos_token_id": 0,
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+ "max_length": 512,
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+ "num_beams": 6,
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+ "pad_token_id": 64171,
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+ "renormalize_logits": true,
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+ "transformers_version": "4.45.0.dev0"
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+ }
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