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contemmcm
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2cc4670158bd1ff104f6fa33a700e2ce

Transformers
Safetensors
mbart
text2text-generation
Generated from Trainer
Model card Files
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End of training

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Files changed (12) hide show
  1. .gitattributes +1 -0
  2. README.md +80 -0
  3. config.json +58 -0
  4. generation_config.json +13 -0
  5. model-00001-of-00002.safetensors +3 -0
  6. model-00002-of-00002.safetensors +3 -0
  7. model.safetensors.index.json +527 -0
  8. sentencepiece.bpe.model +3 -0
  9. special_tokens_map.json +42 -0
  10. tokenizer.json +3 -0
  11. tokenizer_config.json +284 -0
  12. training_args.bin +3 -0
.gitattributes CHANGED
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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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+ library_name: transformers
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+ license: mit
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+ base_model: facebook/mbart-large-en-ro
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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: 2cc4670158bd1ff104f6fa33a700e2ce
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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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+ # 2cc4670158bd1ff104f6fa33a700e2ce
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+
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+ This model is a fine-tuned version of [facebook/mbart-large-en-ro](https://huggingface.co/facebook/mbart-large-en-ro) on the Helsinki-NLP/opus_books [de-es] dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.6717
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+ - Data Size: 1.0
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+ - Epoch Runtime: 182.0175
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+ - Bleu: 6.2878
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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: 8
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+ - eval_batch_size: 8
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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: 32
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+ - total_eval_batch_size: 32
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+ - optimizer: Use 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: constant
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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 | Data Size | Epoch Runtime | Bleu |
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+ |:-------------:|:-----:|:----:|:---------------:|:---------:|:-------------:|:------:|
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+ | No log | 0 | 0 | 8.0420 | 0 | 15.7912 | 0.2500 |
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+ | No log | 1 | 688 | 4.5315 | 0.0078 | 17.3488 | 0.6961 |
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+ | No log | 2 | 1376 | 3.6073 | 0.0156 | 19.9333 | 1.5752 |
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+ | No log | 3 | 2064 | 3.1689 | 0.0312 | 23.1490 | 2.2464 |
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+ | 0.133 | 4 | 2752 | 2.9034 | 0.0625 | 28.5437 | 2.8428 |
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+ | 0.2425 | 5 | 3440 | 2.7440 | 0.125 | 38.9532 | 3.3638 |
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+ | 2.7148 | 6 | 4128 | 2.5909 | 0.25 | 59.8023 | 4.0315 |
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+ | 2.4841 | 7 | 4816 | 2.4455 | 0.5 | 100.7491 | 4.6082 |
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+ | 2.2484 | 8.0 | 5504 | 2.3165 | 1.0 | 186.1785 | 5.6393 |
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+ | 1.9551 | 9.0 | 6192 | 2.2906 | 1.0 | 180.6179 | 5.6007 |
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+ | 1.7105 | 10.0 | 6880 | 2.3365 | 1.0 | 181.6472 | 6.5945 |
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+ | 1.4714 | 11.0 | 7568 | 2.4109 | 1.0 | 180.4393 | 7.1280 |
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+ | 1.2655 | 12.0 | 8256 | 2.5328 | 1.0 | 181.3078 | 6.0857 |
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+ | 1.0555 | 13.0 | 8944 | 2.6717 | 1.0 | 182.0175 | 6.2878 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.57.0
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+ - Pytorch 2.8.0+cu128
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+ - Datasets 4.2.0
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+ - Tokenizers 0.22.1
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sentencepiece.bpe.model ADDED
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