Upload 9 files
Browse files- config.json +35 -0
- openvino_config.json +82 -0
- openvino_model.bin +3 -0
- openvino_model.xml +0 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +7 -0
- tokenizer.json +0 -0
- tokenizer_config.json +16 -0
- vocab.txt +0 -0
config.json
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{
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"_name_or_path": "textattack/bert-base-uncased-SST-2",
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"architectures": [
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"NNCFNetwork"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": null,
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"finetuning_task": "sst2",
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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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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"initializer_range": 0.02,
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"intermediate_size": 3072,
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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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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "bert",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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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": "float32",
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"transformers_version": "4.26.0",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 30522
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}
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openvino_config.json
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{
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"compression": [
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{
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"algorithm": "quantization",
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"export_to_onnx_standard_ops": false,
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"ignored_scopes": [
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"{re}.*Embeddings.*",
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"{re}.*__add___[0-1]",
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"{re}.*layer_norm_0",
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"{re}.*matmul_1",
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"{re}.*__truediv__*"
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],
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"initializer": {
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"batchnorm_adaptation": {
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"num_bn_adaptation_samples": 0
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},
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"range": {
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"num_init_samples": 300,
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"type": "mean_min_max"
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}
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},
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"overflow_fix": "disable",
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"preset": "mixed",
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"scope_overrides": {
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"activations": {
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"{re}.*matmul_0": {
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"mode": "symmetric"
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}
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}
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}
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},
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{
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"algorithm": "magnitude_sparsity",
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"ignored_scopes": [
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"{re}.*NNCFEmbedding.*",
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"{re}.*LayerNorm.*",
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"{re}.*pooler.*",
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"{re}.*classifier.*"
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],
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"params": {
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"power": 3,
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"schedule": "polynomial",
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"sparsity_freeze_epoch": 10,
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"sparsity_target": 0.8,
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"sparsity_target_epoch": 9,
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"steps_per_epoch": 2105,
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"update_per_optimizer_step": true
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},
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"sparsity_init": 0.0
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}
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],
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"input_info": [
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{
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"keyword": "input_ids",
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"sample_size": [
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32,
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128
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],
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"type": "long"
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},
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{
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"keyword": "token_type_ids",
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"sample_size": [
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32,
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128
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],
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"type": "long"
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},
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{
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"keyword": "attention_mask",
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"sample_size": [
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32,
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128
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],
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"type": "long"
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}
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],
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"log_dir": "/nvme2/yujiepan/workspace/jpqd-test/LOGS/optimum-magnitude-int8/v1.7-ow-disable.json",
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"optimum_version": "1.6.3",
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"save_onnx_model": false,
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"transformers_version": "4.26.0"
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}
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openvino_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:6bc46883c54fe9cf7d9ed6d172ee9622273d1c081c186aae0da2755d30bc0861
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size 181696972
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openvino_model.xml
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:db74623dddd1b4b137050000513cf9aca5b7a07131693df439c5b3d0c2b3236d
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size 778415781
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special_tokens_map.json
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{
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"cls_token": "[CLS]",
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"mask_token": "[MASK]",
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"unk_token": "[UNK]"
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}
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tokenizer.json
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tokenizer_config.json
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{
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"cls_token": "[CLS]",
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"do_basic_tokenize": true,
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"do_lower_case": true,
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"mask_token": "[MASK]",
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"model_max_length": 512,
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"name_or_path": "textattack/bert-base-uncased-SST-2",
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"never_split": null,
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"special_tokens_map_file": "/home/yujiepan/.cache/huggingface/hub/models--textattack--bert-base-uncased-SST-2/snapshots/95f0f6f859b35c8ff0863ae3cd4e2dbc702c0ae2/special_tokens_map.json",
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"strip_accents": null,
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"tokenize_chinese_chars": true,
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"tokenizer_class": "BertTokenizer",
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"unk_token": "[UNK]"
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}
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vocab.txt
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