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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- aslg_pc12 |
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metrics: |
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- bertscore |
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- bleu |
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- comet |
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- rouge |
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base_model: t5-small |
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pipeline_tag: translation |
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model-index: |
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- name: t5_small_aslg_pc12 |
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results: |
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- task: |
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type: translation |
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name: Translation |
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dataset: |
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name: aslg_pc12 |
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type: aslg_pc12 |
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config: default |
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split: train |
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metrics: |
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- type: bleu |
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value: 73.8405 |
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name: BLEU |
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verified: true |
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verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYzM4ODViYTVlYjVjZjUwNzI2YzM4YTYxMjBlZjIxNWI2YjNmM2RkOWU1NGU3NTZlYWYxNDU3YjRlNzFmNWQ4MCIsInZlcnNpb24iOjF9.KNo-oNa4YBfVvNzs7-x5b2-J1MThZX9lgztxklJVR7uwrRMvNnJb32mThwK_4Ge_WqPcy-zFHEeF6mCKZ-QWCA |
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- type: loss |
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value: 0.2336091846227646 |
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name: loss |
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verified: true |
|
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNGZlMDZlMzYxNWUzNjk0ZmM4MDg0YTc1YjUyYjcyMTJmMTQxNmVlOTAxZGU3MTY1M2FjZDBhMmIwYzQwMmIwMyIsInZlcnNpb24iOjF9.PEWz-fUp1QjRztcRLHhmInmEGbTefHq-6a9M4HUh7Krdd1Ih8aoWoMdZE8-CCKy_zS6vhZFLUbWocaJw8TH0BA |
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- type: gen_len |
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value: 15.4908 |
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name: gen_len |
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verified: true |
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verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMzk3MmNkNDUxOGRjNmQxZDhjNGM4N2Y0NjFhMWQyOTViMjU3NzRiMTJiMzAwZjFkZjkxMTg0YzY4MTZkNjBjZiIsInZlcnNpb24iOjF9.QIx8UAWOLibfiqNhWP3e4m69rMOzrGhk4iRH2rdwN8NEFUGDJnHrnruhD6qU7doc7W770GCFOo0ZxUV01V7xDQ |
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train-eval-index: |
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- config: default |
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task: translation |
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task_id: translation |
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splits: |
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eval_split: train |
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col_mapping: |
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gloss: source |
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text: target |
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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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# t5_small_aslg_pc12 |
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the aslg_pc12 dataset. |
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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: 8 |
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- eval_batch_size: 8 |
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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: 3.0 |
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### Training results |
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### Framework versions |
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- Transformers 4.34.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.14.1 |