DogGoesBark
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End of training
Browse files- README.md +60 -0
- generation_config.json +16 -0
- pytorch_model.bin +1 -1
README.md
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---
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license: cc-by-4.0
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base_model: Helsinki-NLP/opus-mt-en-de
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tags:
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- generated_from_trainer
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model-index:
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- name: medical_en_de_9_5
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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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# medical_en_de_9_5
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This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-de](https://huggingface.co/Helsinki-NLP/opus-mt-en-de) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2061
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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: 0.0004
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- train_batch_size: 8
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- eval_batch_size: 32
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 32
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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: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.6319 | 4.35 | 3000 | 0.7730 |
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| 0.1332 | 8.71 | 6000 | 0.2061 |
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### Framework versions
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- Transformers 4.34.0.dev0
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- Pytorch 2.0.0
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- Datasets 2.1.0
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- Tokenizers 0.13.3
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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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58100
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]
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],
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"bos_token_id": 0,
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"decoder_start_token_id": 58100,
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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": 58100,
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"renormalize_logits": true,
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"transformers_version": "4.34.0.dev0"
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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size 295863749
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version https://git-lfs.github.com/spec/v1
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size 295863749
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