Q8BERT_COLA_L_512 / config.json
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Updated model
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{
"architectures": [
"QuantizedBertForSequenceClassification"
],
"attention_key": {
"mode": "ema"
},
"attention_output": {
"mode": "ema",
"requantize_output": false
},
"attention_probs_dropout_prob": 0.1,
"attention_query": {
"mode": "ema"
},
"attention_value": {
"mode": "ema",
"requantize_output": false
},
"bos_token_id": 0,
"do_sample": false,
"eos_token_ids": 0,
"ffn_intermediate": {
"mode": "ema",
"requantize_output": false
},
"ffn_output": {
"mode": "ema",
"requantize_output": false
},
"finetuning_task": null,
"head": {
"mode": "ema",
"requantize_output": false,
"start_step": 200
},
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"id2label": {
"0": "LABEL_0",
"1": "LABEL_1"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"is_decoder": false,
"label2id": {
"LABEL_0": 0,
"LABEL_1": 1
},
"layer_norm_eps": 1e-12,
"length_penalty": 1.0,
"max_length": 20,
"max_position_embeddings": 512,
"model_type": "bert",
"num_attention_heads": 12,
"num_beams": 1,
"num_hidden_layers": 12,
"num_labels": 2,
"num_return_sequences": 1,
"output_attentions": false,
"output_hidden_states": false,
"output_past": true,
"pad_token_id": 0,
"pooler": {
"mode": "ema",
"requantize_output": false
},
"position_embeddings": {
"mode": "ema"
},
"pruned_heads": {},
"repetition_penalty": 1.0,
"temperature": 1.0,
"token_type_embeddings": {
"mode": "none"
},
"top_k": 50,
"top_p": 1.0,
"torchscript": false,
"type_vocab_size": 2,
"use_bfloat16": false,
"vocab_size": 30522,
"word_embeddings": {
"mode": "ema"
}
}