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shandung
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fine_tuned_models

Text2Text Generation
Transformers
TensorBoard
Safetensors
m2m_100
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
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shandung/M2M

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Files changed (13) hide show
  1. README.md +58 -0
  2. added_tokens.json +102 -0
  3. config.json +37 -0
  4. generation_config.json +11 -0
  5. model.safetensors +3 -0
  6. runs/Nov13_18-01-46_c0526307daff/events.out.tfevents.1699898507.c0526307daff.157.0 +3 -0
  7. runs/Nov13_18-01-46_c0526307daff/events.out.tfevents.1699901333.c0526307daff.157.1 +3 -0
  8. runs/Nov13_18-01-46_c0526307daff/events.out.tfevents.1699904157.c0526307daff.157.2 +3 -0
  9. sentencepiece.bpe.model +3 -0
  10. special_tokens_map.json +109 -0
  11. tokenizer_config.json +951 -0
  12. training_args.bin +3 -0
  13. vocab.json +0 -0
README.md ADDED
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+ ---
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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: fine_tuned_models
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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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+ # fine_tuned_models
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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: 0.0879
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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: 4
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+ - eval_batch_size: 4
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+ - seed: 42
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+ - gradient_accumulation_steps: 16
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+ - total_train_batch_size: 64
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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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+ - training_steps: 648
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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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+ | 0.0219 | 36.87 | 500 | 0.0866 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.35.0
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+ - Pytorch 2.1.0+cu118
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+ - Tokenizers 0.14.1
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865
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866
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899
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+ "__yi__",
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+ ],
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+ "bos_token": "<s>",
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+ "clean_up_tokenization_spaces": true,
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+ "eos_token": "</s>",
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+ "language_codes": "m2m100",
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+ "model_max_length": 1024,
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+ "num_madeup_words": 8,
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+ "sep_token": "</s>",
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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
+ }
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vocab.json ADDED
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