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upload int8 onnx model

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Signed-off-by: yuwenzho <yuwen.zhou@intel.com>

Files changed (4) hide show
  1. README.md +37 -0
  2. config.json +43 -0
  3. model.onnx +3 -0
  4. tokenizer.json +0 -0
README.md CHANGED
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  ---
 
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  license: apache-2.0
 
 
 
 
 
 
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ language: en
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  license: apache-2.0
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+ tags:
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+ - text-classfication
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+ - int8
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+ - Intel® Neural Compressor
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+ - PostTrainingDynamic
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+ - onnx
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+ datasets:
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+ - mrpc
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+ metrics:
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+ - f1
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  ---
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+
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+ # INT8 albert-base-v2-sst2
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+
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+ ## Post-training dynamic quantization
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+
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+ ### ONNX
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+
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+ This is an INT8 ONNX model quantized with [Intel® Neural Compressor](https://github.com/intel/neural-compressor).
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+
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+ The original fp32 model comes from the fine-tuned model [Alireza1044/albert-base-v2-sst2](https://huggingface.co/Alireza1044/albert-base-v2-sst2).
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+
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+ #### Test result
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+
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+ | |INT8|FP32|
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+ |---|:---:|:---:|
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+ | **Accuracy (eval-f1)** |0.9140|0.9232|
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+ | **Model size (MB)** |57|45|
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+
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+
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+ #### Load ONNX model:
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+
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+ ```python
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+ from optimum.onnxruntime import ORTModelForSequenceClassification
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+ model = ORTModelForSequenceClassification.from_pretrained('Intel/albert-base-v2-sst2-int8-dynamic')
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+ ```
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+
config.json ADDED
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+ {
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+ "_name_or_path": "Alireza1044/albert-base-v2-sst2",
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+ "architectures": [
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+ "AlbertForSequenceClassification"
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+ ],
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+ "attention_probs_dropout_prob": 0,
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+ "bos_token_id": 2,
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+ "classifier_dropout_prob": 0.1,
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+ "down_scale_factor": 1,
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+ "embedding_size": 128,
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+ "eos_token_id": 3,
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+ "finetuning_task": "sst2",
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+ "gap_size": 0,
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+ "hidden_act": "gelu_new",
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+ "hidden_dropout_prob": 0,
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+ "hidden_size": 768,
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+ "initializer_range": 0.02,
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+ "inner_group_num": 1,
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+ "intermediate_size": 3072,
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+ "layer_norm_eps": 1e-12,
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+ "max_position_embeddings": 512,
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+ "model_type": "albert",
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+ "net_structure_type": 0,
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+ "num_attention_heads": 12,
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+ "num_hidden_groups": 1,
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+ "num_hidden_layers": 12,
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+ "num_memory_blocks": 0,
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+ "pad_token_id": 0,
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+ "position_embedding_type": "absolute",
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+ "problem_type": "single_label_classification",
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+ "torch_dtype": "int8",
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+ "transformers_version": "4.18.0",
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+ "type_vocab_size": 2,
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+ "vocab_size": 30000,
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+ "label2id": {
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+ "negative": 0,
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+ "positive": 1
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+ },
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+ "id2label": {
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+ "0": "negative",
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+ "1": "positive"
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+ }
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+ }
model.onnx ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:adf3f4b46f838e0c1888ffe314e7d0c82694b2fb9637d93ffdc86adcc721acf2
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+ size 59583642
tokenizer.json ADDED
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