| | --- |
| | license: apache-2.0 |
| | tags: |
| | - generated_from_trainer |
| | datasets: |
| | - wmt16 |
| | - autoevaluate/wmt16-sample |
| | metrics: |
| | - bleu |
| | model-index: |
| | - name: translation |
| | results: |
| | - task: |
| | type: text2text-generation |
| | name: Sequence-to-sequence Language Modeling |
| | dataset: |
| | name: wmt16 |
| | type: wmt16 |
| | args: ro-en |
| | metrics: |
| | - type: bleu |
| | value: 28.5866 |
| | name: Bleu |
| | - task: |
| | type: translation |
| | name: Translation |
| | dataset: |
| | name: autoevaluate/wmt16-ro-en-sample |
| | type: autoevaluate/wmt16-ro-en-sample |
| | config: autoevaluate--wmt16-ro-en-sample |
| | split: test |
| | metrics: |
| | - type: bleu |
| | value: 2.7663 |
| | name: BLEU |
| | verified: true |
| | verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNjRlMmFiNmViZmFmYTViZmQ4NWIwNDQ2NmI4MDBiZjg1MzZjMWZkMzY0YjA2ZjE2ZTZhZjI5MWVmOGZhOGRmNiIsInZlcnNpb24iOjF9.9may0WjvZnNl1ulo8rxh3Fl_g1om6QRC7ZklgV2rZ_-w8_ZhA7v62SEopmkIPLX_cpWinwKzg-p-2e18XDgvBQ |
| | - type: loss |
| | value: 4.943170070648193 |
| | name: loss |
| | verified: true |
| | verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMWQ2MmIwMjcxMDJhOGI1ODE5NjA2ZjViMDYxMjlhY2MzODIwMDI1YWU5NzExMTBjYWUxOTNhYzU1OTc5OGFjNyIsInZlcnNpb24iOjF9._ogVvMQzTw3w77SHzZx-lfKDqoBb3gxjdztg5TFKn_FujSxRw14NhcZxYrpEeZmWa7rcMshhzKFBjTYSaLxIAg |
| | - type: gen_len |
| | value: 40.35 |
| | name: gen_len |
| | verified: true |
| | verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNWUwYWNkMmZkM2MxNjJjNmU1MTYzYzliMjU0NGFkZGM2MjBiNDkyNzMxYWJiM2ViNDYxZWMyMDFhMDdiNTJlYiIsInZlcnNpb24iOjF9.PBIJpF-XsDMCV1XrQBmFN_kjUKwlz4bqgNm698AtMgYTrsfkwgOq_CItdgjGK1aXzRqZMfGOzP2NIPeiy3dMBg |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | # translation |
| |
|
| | This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-ro](https://huggingface.co/Helsinki-NLP/opus-mt-en-ro) on the wmt16 dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 1.3170 |
| | - Bleu: 28.5866 |
| | - Gen Len: 33.9575 |
| |
|
| | ## Model description |
| |
|
| | More information needed |
| |
|
| | ## Intended uses & limitations |
| |
|
| | More information needed |
| |
|
| | ## Training and evaluation data |
| |
|
| | More information needed |
| |
|
| | ## Training procedure |
| |
|
| | ### Training hyperparameters |
| |
|
| | The following hyperparameters were used during training: |
| | - learning_rate: 2e-05 |
| | - train_batch_size: 16 |
| | - eval_batch_size: 16 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - training_steps: 1000 |
| | - mixed_precision_training: Native AMP |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |
| | |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:| |
| | | 0.8302 | 0.03 | 1000 | 1.3170 | 28.5866 | 33.9575 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.19.2 |
| | - Pytorch 1.11.0+cu113 |
| | - Datasets 2.2.2 |
| | - Tokenizers 0.12.1 |
| |
|
