Commit
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End of training
Browse files- README.md +67 -0
- adapter_model.safetensors +1 -1
README.md
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---
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library_name: peft
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tags:
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- generated_from_trainer
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datasets:
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- mt_eng_vietnamese
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metrics:
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- bleu
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base_model: facebook/mbart-large-50-many-to-many-mmt
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model-index:
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- name: mBart50-tl-en2vi-lora
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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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# mBart50-tl-en2vi-lora
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This model is a fine-tuned version of [facebook/mbart-large-50-many-to-many-mmt](https://huggingface.co/facebook/mbart-large-50-many-to-many-mmt) on the mt_eng_vietnamese dataset.
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It achieves the following results on the evaluation set:
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- Loss: 6.6172
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- Bleu: 34.4063
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- Gen Len: 32.7321
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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: 0.0005
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- train_batch_size: 16
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- eval_batch_size: 16
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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: 1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
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| 6.9999 | 0.21 | 2000 | 6.6880 | 32.0922 | 32.1749 |
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| 6.9674 | 0.42 | 4000 | 6.6544 | 32.7344 | 32.7289 |
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| 6.9357 | 0.63 | 6000 | 6.6310 | 34.0802 | 32.4878 |
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| 6.9162 | 0.84 | 8000 | 6.6172 | 34.4063 | 32.7321 |
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### Framework versions
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- PEFT 0.9.1.dev0
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- Transformers 4.39.0.dev0
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- Pytorch 2.1.2
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- Datasets 2.1.0
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- Tokenizers 0.15.2
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 151015816
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version https://git-lfs.github.com/spec/v1
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oid sha256:863611bc476bd90a333a0f16a08cf0794f98dee77616ea112359173bc94adee3
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size 151015816
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