graphcore-rahult
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update model card README.md
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README.md
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@@ -14,7 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
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This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 6.
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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: 64
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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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- lr_scheduler_warmup_ratio: 0.1
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This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 6.0977
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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: 64
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- total_train_batch_size: 128
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- total_eval_batch_size: 5
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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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- lr_scheduler_warmup_ratio: 0.1
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