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license: apache-2.0 |
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[Optimum Habana](https://github.com/huggingface/optimum-habana) is the interface between the Hugging Face Transformers and Diffusers libraries and Habana's Gaudi processor (HPU). |
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It provides a set of tools enabling easy and fast model loading, training and inference on single- and multi-HPU settings for different downstream tasks. |
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Learn more about how to take advantage of the power of Habana HPUs to train and deploy Transformers and Diffusers models at [hf.co/hardware/habana](https://huggingface.co/hardware/habana). |
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## DistilBERT Base model HPU configuration |
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This model only contains the `GaudiConfig` file for running the [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) model on Habana's Gaudi processors (HPU). |
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**This model contains no model weights, only a GaudiConfig.** |
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This enables to specify: |
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- `use_fused_adam`: whether to use Habana's custom AdamW implementation |
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- `use_fused_clip_norm`: whether to use Habana's fused gradient norm clipping operator |
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- `disable_autocast`: whether to disable autocast; this parameter takes precedence over --bf16 flag and is temporary as some scripts produce nan values. |
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In those cases this parameter is already present in huggingface topology Habana gaudi_config.json. |
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## Usage |
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The model is instantiated the same way as in the Transformers library. |
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The only difference is that there are a few new training arguments specific to HPUs.\ |
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This model is supported only in mixed precision training with bf16 type. |
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[Here](https://github.com/huggingface/optimum-habana/blob/main/examples/question-answering/run_qa.py) is a question-answering example script to fine-tune a model on SQuAD. You can run it with DistilBERT with the following command: |
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```bash |
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python run_qa.py \ |
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--model_name_or_path distilbert-base-uncased \ |
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--gaudi_config_name Habana/distilbert-base-uncased \ |
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--dataset_name squad \ |
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--do_train \ |
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--do_eval \ |
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--per_device_train_batch_size 8 \ |
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--per_device_eval_batch_size 8 \ |
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--learning_rate 5e-5 \ |
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--num_train_epochs 3 \ |
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--max_seq_length 384 \ |
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--output_dir /tmp/squad/ \ |
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--use_habana \ |
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--use_lazy_mode \ |
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--throughput_warmup_steps 2 |
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``` |
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Check the [documentation](https://huggingface.co/docs/optimum/habana/index) out for more advanced usage and examples. |
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