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Text2Text Generation
Transformers
Safetensors
m2m_100
Generated from Trainer
Inference Endpoints
Model card Files
jla25 commited on
Commit
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1 Parent(s): 1e338ab

End of training

Browse files
Files changed (10) hide show
  1. README.md +73 -0
  2. added_tokens.json +102 -0
  3. config.json +37 -0
  4. generation_config.json +11 -0
  5. model.safetensors +3 -0
  6. sentencepiece.bpe.model +3 -0
  7. special_tokens_map.json +109 -0
  8. tokenizer_config.json +951 -0
  9. training_args.bin +3 -0
  10. vocab.json +0 -0
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/m2m100_418M
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: results
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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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+ # results
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+
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+ This model is a fine-tuned version of [facebook/m2m100_418M](https://huggingface.co/facebook/m2m100_418M) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.6583
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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-06
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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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+ - 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: 15
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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 |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 63 | 4.2641 |
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+ | No log | 2.0 | 126 | 3.7198 |
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+ | No log | 3.0 | 189 | 3.3903 |
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+ | No log | 4.0 | 252 | 3.1066 |
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+ | No log | 5.0 | 315 | 2.8501 |
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+ | No log | 6.0 | 378 | 2.6187 |
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+ | No log | 7.0 | 441 | 2.4137 |
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+ | 3.4823 | 8.0 | 504 | 2.2344 |
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+ | 3.4823 | 9.0 | 567 | 2.0787 |
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+ | 3.4823 | 10.0 | 630 | 1.9493 |
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+ | 3.4823 | 11.0 | 693 | 1.8437 |
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+ | 3.4823 | 12.0 | 756 | 1.7626 |
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+ | 3.4823 | 13.0 | 819 | 1.7043 |
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+ | 3.4823 | 14.0 | 882 | 1.6700 |
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+ | 3.4823 | 15.0 | 945 | 1.6583 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.44.2
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+ - Pytorch 2.5.0+cu121
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+ - Datasets 3.1.0
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+ - Tokenizers 0.19.1
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+ {
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+ "M2M100ForConditionalGeneration"
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+ "model_type": "m2m_100",
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+ "transformers_version": "4.44.2",
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+ "use_cache": true,
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+ "vocab_size": 128112
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+ }
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874
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875
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876
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877
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878
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879
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884
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885
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886
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887
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890
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894
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895
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897
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898
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899
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900
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904
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905
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913
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914
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916
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917
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918
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919
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920
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929
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+ "__vi__",
931
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933
+ "__yi__",
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+ ],
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+ "bos_token": "<s>",
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940
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942
+ "model_max_length": 1024,
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+ "sp_model_kwargs": {},
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+ "src_lang": "en",
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+ "tgt_lang": null,
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+ "tokenizer_class": "M2M100Tokenizer",
950
+ "unk_token": "<unk>"
951
+ }
training_args.bin ADDED
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vocab.json ADDED
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