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vania2911
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2661

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Safetensors
marian
text2text-generation
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  1. README.md +100 -0
  2. generation_config.json +16 -0
  3. model.safetensors +1 -1
  4. runs/Mar08_19-21-37_631e7f0133ea/events.out.tfevents.1741461702.631e7f0133ea.1393.3 +2 -2
  5. runs/Mar08_19-21-37_631e7f0133ea/events.out.tfevents.1741462707.631e7f0133ea.1393.4 +3 -0
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-es
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: '2661'
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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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+ # 2661
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+
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+ This model is a fine-tuned version of [Helsinki-NLP/opus-mt-es-es](https://huggingface.co/Helsinki-NLP/opus-mt-es-es) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.4495
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+ - Bleu Msl: 0.0
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+ - Bleu 1 Msl: 0.7593
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+ - Bleu 2 Msl: 0.0161
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+ - Bleu 3 Msl: 0.0047
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+ - Bleu 4 Msl: 0.0023
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+ - Ter Msl: 100
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+ - Bleu Asl: 0
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+ - Bleu 1 Asl: 0
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+ - Bleu 2 Asl: 0
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+ - Bleu 3 Asl: 0
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+ - Bleu 4 Asl: 0
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+ - Ter Asl: 100
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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: 0.0001
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+ - train_batch_size: 32
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+ - eval_batch_size: 64
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+ - seed: 42
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+ - optimizer: Use OptimizerNames.ADAMW_TORCH 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: 30
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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 Msl | Bleu 1 Msl | Bleu 2 Msl | Bleu 3 Msl | Bleu 4 Msl | Ter Msl | Bleu Asl | Bleu 1 Asl | Bleu 2 Asl | Bleu 3 Asl | Bleu 4 Asl | Ter Asl |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:----------:|:----------:|:----------:|:----------:|:-------:|:--------:|:----------:|:----------:|:----------:|:----------:|:-------:|
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+ | No log | 1.0 | 67 | 0.4200 | 42.7287 | 0.6604 | 0.0111 | 0.0030 | 0.0014 | 100 | 0 | 0 | 0 | 0 | 0 | 100 |
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+ | No log | 2.0 | 134 | 0.3958 | 50.8133 | 0.7186 | 0.0116 | 0.0031 | 0.0015 | 100 | 0 | 0 | 0 | 0 | 0 | 100 |
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+ | No log | 3.0 | 201 | 0.3869 | 70.7107 | 0.7317 | 0.0117 | 0.0031 | 0.0015 | 100 | 0 | 0 | 0 | 0 | 0 | 100 |
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+ | No log | 4.0 | 268 | 0.3764 | 70.7107 | 0.7336 | 0.0117 | 0.0031 | 0.0015 | 100 | 0 | 0 | 0 | 0 | 0 | 100 |
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+ | No log | 5.0 | 335 | 0.3818 | 50.8133 | 0.7261 | 0.0117 | 0.0031 | 0.0015 | 100 | 0 | 0 | 0 | 0 | 0 | 100 |
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+ | No log | 6.0 | 402 | 0.3615 | 50.8133 | 0.7467 | 0.0118 | 0.0032 | 0.0015 | 100 | 0 | 0 | 0 | 0 | 0 | 100 |
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+ | No log | 7.0 | 469 | 0.3790 | 50.8133 | 0.7336 | 0.0117 | 0.0031 | 0.0015 | 100 | 0 | 0 | 0 | 0 | 0 | 100 |
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+ | 0.1217 | 8.0 | 536 | 0.3946 | 50.0000 | 0.7411 | 0.0118 | 0.0031 | 0.0015 | 100 | 0 | 0 | 0 | 0 | 0 | 100 |
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+ | 0.1217 | 9.0 | 603 | 0.4057 | 45.1801 | 0.7448 | 0.0118 | 0.0032 | 0.0015 | 100 | 0 | 0 | 0 | 0 | 0 | 100 |
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+ | 0.1217 | 10.0 | 670 | 0.3968 | 70.7107 | 0.7392 | 0.0118 | 0.0031 | 0.0015 | 100 | 0 | 0 | 0 | 0 | 0 | 100 |
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+ | 0.1217 | 11.0 | 737 | 0.4003 | 70.7107 | 0.7411 | 0.0118 | 0.0031 | 0.0015 | 100 | 0 | 0 | 0 | 0 | 0 | 100 |
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+ | 0.1217 | 12.0 | 804 | 0.3982 | 70.7107 | 0.7561 | 0.0119 | 0.0032 | 0.0015 | 100 | 0 | 0 | 0 | 0 | 0 | 100 |
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+ | 0.1217 | 13.0 | 871 | 0.4016 | 70.7107 | 0.7486 | 0.0119 | 0.0032 | 0.0015 | 100 | 0 | 0 | 0 | 0 | 0 | 100 |
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+ | 0.1217 | 14.0 | 938 | 0.4065 | 50.8133 | 0.7542 | 0.0119 | 0.0032 | 0.0015 | 100 | 0 | 0 | 0 | 0 | 0 | 100 |
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+ | 0.0287 | 15.0 | 1005 | 0.3989 | 50.0000 | 0.7561 | 0.0119 | 0.0032 | 0.0015 | 100 | 0 | 0 | 0 | 0 | 0 | 100 |
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+ | 0.0287 | 16.0 | 1072 | 0.4009 | 50.0000 | 0.7523 | 0.0119 | 0.0032 | 0.0015 | 100 | 0 | 0 | 0 | 0 | 0 | 100 |
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+ | 0.0287 | 17.0 | 1139 | 0.4154 | 50.0000 | 0.7505 | 0.0119 | 0.0032 | 0.0015 | 100 | 0 | 0 | 0 | 0 | 0 | 100 |
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+ | 0.0287 | 18.0 | 1206 | 0.4111 | 70.7107 | 0.7411 | 0.0118 | 0.0031 | 0.0015 | 100 | 0 | 0 | 0 | 0 | 0 | 100 |
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+ | 0.0287 | 19.0 | 1273 | 0.4163 | 70.7107 | 0.7448 | 0.0118 | 0.0032 | 0.0015 | 100 | 0 | 0 | 0 | 0 | 0 | 100 |
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+ | 0.0287 | 20.0 | 1340 | 0.4134 | 70.7107 | 0.7542 | 0.0119 | 0.0032 | 0.0015 | 100 | 0 | 0 | 0 | 0 | 0 | 100 |
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+ | 0.0287 | 21.0 | 1407 | 0.4165 | 70.7107 | 0.7542 | 0.0119 | 0.0032 | 0.0015 | 100 | 0 | 0 | 0 | 0 | 0 | 100 |
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+ | 0.0287 | 22.0 | 1474 | 0.4120 | 50.0000 | 0.7486 | 0.0119 | 0.0032 | 0.0015 | 100 | 0 | 0 | 0 | 0 | 0 | 100 |
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+ | 0.0132 | 23.0 | 1541 | 0.4199 | 50.0000 | 0.7467 | 0.0118 | 0.0032 | 0.0015 | 100 | 0 | 0 | 0 | 0 | 0 | 100 |
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+ | 0.0132 | 24.0 | 1608 | 0.4200 | 50.0000 | 0.7523 | 0.0119 | 0.0032 | 0.0015 | 100 | 0 | 0 | 0 | 0 | 0 | 100 |
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+ | 0.0132 | 25.0 | 1675 | 0.4226 | 70.7107 | 0.7523 | 0.0119 | 0.0032 | 0.0015 | 100 | 0 | 0 | 0 | 0 | 0 | 100 |
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+ | 0.0132 | 26.0 | 1742 | 0.4199 | 70.7107 | 0.7542 | 0.0119 | 0.0032 | 0.0015 | 100 | 0 | 0 | 0 | 0 | 0 | 100 |
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+ | 0.0132 | 27.0 | 1809 | 0.4216 | 70.7107 | 0.7523 | 0.0119 | 0.0032 | 0.0015 | 100 | 0 | 0 | 0 | 0 | 0 | 100 |
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+ | 0.0132 | 28.0 | 1876 | 0.4225 | 50.8133 | 0.7542 | 0.0119 | 0.0032 | 0.0015 | 100 | 0 | 0 | 0 | 0 | 0 | 100 |
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+ | 0.0132 | 29.0 | 1943 | 0.4232 | 50.8133 | 0.7523 | 0.0119 | 0.0032 | 0.0015 | 100 | 0 | 0 | 0 | 0 | 0 | 100 |
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+ | 0.0087 | 30.0 | 2010 | 0.4235 | 50.8133 | 0.7523 | 0.0119 | 0.0032 | 0.0015 | 100 | 0 | 0 | 0 | 0 | 0 | 100 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.48.3
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+ - Pytorch 2.5.1+cu124
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+ - Datasets 3.3.2
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+ - Tokenizers 0.21.0
generation_config.json ADDED
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+ {
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+ "bad_words_ids": [
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+ ],
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+ "decoder_start_token_id": 33252,
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+ "forced_eos_token_id": 0,
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+ "max_length": 512,
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+ "num_beams": 4,
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+ "pad_token_id": 33252,
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+ "renormalize_logits": true,
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+ "transformers_version": "4.48.3"
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+ }
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