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README.md
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@@ -19,15 +19,35 @@ This is an INT8 PyTorch model quantized with [huggingface/optimum-intel](https:
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The original fp32 model comes from the fine-tuned model [sysresearch101/t5-large-finetuned-xsum-cnn](https://huggingface.co/sysresearch101/t5-large-finetuned-xsum-cnn).
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Below linear modules are fallbacked to fp32 for less than 1% relative accuracy loss:
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### Evaluation result
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| |INT8|FP32|
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| **Accuracy (eval-rougeLsum)** | 41.
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| **Model size** |
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### Load with optimum:
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The original fp32 model comes from the fine-tuned model [sysresearch101/t5-large-finetuned-xsum-cnn](https://huggingface.co/sysresearch101/t5-large-finetuned-xsum-cnn).
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Below linear modules (40/193) are fallbacked to fp32 for less than 1% relative accuracy loss:
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**'model.decoder.layers.10.fc1'**, **'model.decoder.layers.0.fc2'**,
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**'model.decoder.layers.4.fc2'**, **'model.decoder.layers.1.fc2'**,
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**'model.decoder.layers.6.fc2'**, **'model.decoder.layers.2.fc2'**,
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**'model.decoder.layers.3.fc2'**, **'model.encoder.layers.11.fc2'**,
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**'model.decoder.layers.9.fc1'**, **'model.decoder.layers.5.fc2'**,
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**'model.decoder.layers.7.fc1'**, **'model.decoder.layers.8.fc1'**,
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**'model.encoder.layers.0.fc2'**, **'model.decoder.layers.11.fc1'**,
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**'model.encoder.layers.8.fc2'**, **'model.encoder.layers.11.fc1'**,
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**'model.decoder.layers.8.fc2'**, **'model.decoder.layers.2.fc1'**,
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**'model.decoder.layers.11.self_attn.v_proj'**, **'model.encoder.layers.9.fc1'**,
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**'model.decoder.layers.9.fc2'**, **'model.decoder.layers.7.fc2'**,
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**'model.decoder.layers.6.fc1'**, **'model.decoder.layers.0.fc1'**,
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**'model.decoder.layers.1.self_attn.v_proj'**, **'model.encoder.layers.3.fc1'**,
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**'model.encoder.layers.2.fc2'**, **'model.encoder.layers.7.fc2'**,
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**'model.decoder.layers.3.fc1'**, **'model.encoder.layers.1.fc2'**,
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**'model.encoder.layers.10.fc2'**, **'model.encoder.layers.8.fc1'**,
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**'lm_head'**, **'model.decoder.layers.6.self_attn.v_proj'**,
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**'model.decoder.layers.11.self_attn.out_proj'**, **'model.decoder.layers.11.encoder_attn.v_proj'**,
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**'model.encoder.layers.10.fc1'**, **'model.encoder.layers.6.fc1'**,
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**'model.decoder.layers.4.fc1'**, **'model.decoder.layers.1.fc1'**
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### Evaluation result
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| |INT8|FP32|
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|---|:---:|:---:|
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| **Accuracy (eval-rougeLsum)** | 41.2224 | 41.5274 |
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| **Model size** |625M|1669M|
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### Load with optimum:
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