graphcore-rahult
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update model card README.md
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README.md
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This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the wmt16 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.
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## Model description
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- seed: 42
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- distributed_type: IPU
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- gradient_accumulation_steps: 128
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- total_train_batch_size:
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- total_eval_batch_size:
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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 Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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### Framework versions
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This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the wmt16 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.9824
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## Model description
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- seed: 42
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- distributed_type: IPU
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- gradient_accumulation_steps: 128
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- total_train_batch_size: 512
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- total_eval_batch_size: 24
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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 Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 1.4153 | 1.0 | 1192 | 1.9824 |
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### Framework versions
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