Training complete
Browse files
README.md
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---
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license: apache-2.0
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base_model: Helsinki-NLP/opus-mt-en-bcl
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tags:
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- translation
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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: sorsolingo-mt-tl-bsl-test
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results: []
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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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# sorsolingo-mt-tl-bsl-test
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This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-bcl](https://huggingface.co/Helsinki-NLP/opus-mt-en-bcl) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 4.3029
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- Bleu: 9.6771
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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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: 32
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- eval_batch_size: 64
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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: 22
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- mixed_precision_training: Native AMP
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### Training results
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### Framework versions
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- Transformers 4.40.0
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- Pytorch 2.2.1+cu121
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- Datasets 2.19.0
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- Tokenizers 0.19.1
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generation_config.json
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{
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"bad_words_ids": [
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[
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58454
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]
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],
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"bos_token_id": 0,
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"decoder_start_token_id": 58454,
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"eos_token_id": 0,
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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": 58454,
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"renormalize_logits": true,
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"transformers_version": "4.40.0"
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}
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runs/Apr25_16-43-27_e93b5777d4bd/events.out.tfevents.1714063998.e93b5777d4bd.929.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:a47ee4bf67fb7ea89755cb8dbec92b712ae931a06c73dabb03a827fa21631bb1
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size 407
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