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Parent(s):
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Upload BertForSequenceClassification
Browse files- config.json +17 -35
- pytorch_model.bin +3 -0
config.json
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{
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"_name_or_path": "
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"architectures": [
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"
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],
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"
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"classifier_dropout":
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"
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"text-generation": {
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"impl": "instruct_pipeline.InstructionTextGenerationPipeline",
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"pt": "AutoModelForCausalLM",
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"tf": "TFAutoModelForCausalLM"
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}
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},
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"eos_token_id": 0,
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"hidden_act": "gelu",
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"
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"initializer_range": 0.02,
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"intermediate_size":
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"layer_norm_eps": 1e-
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"max_position_embeddings":
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"model_type": "
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"num_attention_heads":
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"num_hidden_layers":
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"
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"bnb_4bit_quant_type": "fp4",
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"bnb_4bit_use_double_quant": false,
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"llm_int8_enable_fp32_cpu_offload": false,
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"llm_int8_has_fp16_weight": false,
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"llm_int8_skip_modules": null,
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"llm_int8_threshold": 6.0,
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"load_in_4bit": false,
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"load_in_8bit": true
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},
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"rotary_emb_base": 10000,
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"rotary_pct": 0.25,
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"tie_word_embeddings": false,
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"torch_dtype": "float32",
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"transformers_version": "4.30.0.dev0",
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"use_cache": true,
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"
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"vocab_size": 50280
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}
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{
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"_name_or_path": "bert-base-uncased",
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"architectures": [
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"BertForSequenceClassification"
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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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"gradient_checkpointing": false,
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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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"initializer_range": 0.02,
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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": "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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"torch_dtype": "float32",
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"transformers_version": "4.30.0.dev0",
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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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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:ac501c1d0fd8b4ec8d5b6e4f498e30801bc3382bd2985fbe12c5dcfed8619d35
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size 438005109
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