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MarianMT-finetuned-ES-ZAP-v4

Transformers
Safetensors
marian
text2text-generation
Generated from Trainer
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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-es-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-finetuned-ES-ZAP-v4
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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-finetuned-ES-ZAP-v4
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+
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+ This model is a fine-tuned version of [Helsinki-NLP/opus-mt-es-en](https://huggingface.co/Helsinki-NLP/opus-mt-es-en) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.2469
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+ - Bleu: 20.5832
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+ - Meteor: 0.4548
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+ - Ter: 64.5992
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+ - Chrf: 43.7279
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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: 1e-05
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: linear
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+ - num_epochs: 50
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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 | Meteor | Ter | Chrf |
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+ |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:--------:|:-------:|
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+ | 1.3736 | 1.0 | 179 | 0.5978 | 0.3111 | 0.0882 | 216.7939 | 9.2974 |
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+ | 0.4949 | 2.0 | 358 | 0.4382 | 3.6416 | 0.1889 | 95.1336 | 20.9865 |
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+ | 0.3762 | 3.0 | 537 | 0.3719 | 6.2974 | 0.2275 | 88.7405 | 24.9969 |
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+ | 0.3149 | 4.0 | 716 | 0.3382 | 8.2395 | 0.2822 | 84.8282 | 29.5532 |
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+ | 0.2765 | 5.0 | 895 | 0.3156 | 8.4096 | 0.3200 | 79.4847 | 32.3501 |
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+ | 0.2462 | 6.0 | 1074 | 0.2968 | 11.4876 | 0.3457 | 75.8588 | 35.1628 |
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+ | 0.2217 | 7.0 | 1253 | 0.2841 | 13.5969 | 0.3650 | 77.0992 | 36.6277 |
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+ | 0.2013 | 8.0 | 1432 | 0.2731 | 15.4573 | 0.3967 | 71.3740 | 38.5145 |
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+ | 0.1842 | 9.0 | 1611 | 0.2638 | 16.6958 | 0.4135 | 70.1336 | 40.9340 |
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+ | 0.1690 | 10.0 | 1790 | 0.2573 | 17.4951 | 0.4206 | 67.4618 | 41.4994 |
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+ | 0.1560 | 11.0 | 1969 | 0.2531 | 18.0435 | 0.4313 | 67.6527 | 41.9272 |
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+ | 0.1446 | 12.0 | 2148 | 0.2469 | 20.5832 | 0.4548 | 64.5992 | 43.7279 |
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+ | 0.1331 | 13.0 | 2327 | 0.2449 | 18.6926 | 0.4423 | 66.6985 | 43.3962 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 5.0.0
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+ - Pytorch 2.10.0+cu128
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+ - Datasets 4.0.0
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+ - Tokenizers 0.22.2
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