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{
"compression": {
"algorithm": "magnitude_sparsity",
"ignored_scopes": [
"{re}.*NNCFEmbedding.*",
"{re}.*LayerNorm.*"
],
"params": {
"power": 3,
"schedule": "polynomial",
"sparsity_freeze_epoch": 9,
"sparsity_target": 0.8,
"sparsity_target_epoch": 8,
"steps_per_epoch": 1053,
"update_per_optimizer_step": false
},
"sparsity_init": 0.7
},
"input_info": [
{
"keyword": "input_ids",
"sample_size": [
64,
128
],
"type": "long"
},
{
"keyword": "token_type_ids",
"sample_size": [
64,
128
],
"type": "long"
},
{
"keyword": "attention_mask",
"sample_size": [
64,
128
],
"type": "long"
}
],
"log_dir": "/tmp/0205_2tx9_bertsst2attack_spar0.7to0.8prune0_per_epoch_cos7x4_lr5e-05_bs64_epo28",
"optimum_version": "1.6.3",
"save_onnx_model": false,
"transformers_version": "4.26.0"
}
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