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xlnet-base-cased-finetuned-app

Text Classification
Transformers
PyTorch
English
xlnet
mobile app descriptions
playstore
Inference Endpoints
Model card Files Community
1
xlnet-base-cased-finetuned-app
File size: 1,143 Bytes 
3a8a250
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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{
	"_name_or_path": "xlnet-base-cased",
	"architectures": [
		"XLNetForSequenceClassification"
	],
	"attn_type": "bi",
	"bi_data": false,
	"bos_token_id": 1,
	"clamp_len": -1,
	"d_head": 64,
	"d_inner": 3072,
	"d_model": 768,
	"dropout": 0.1,
	"end_n_top": 5,
	"eos_token_id": 2,
	"ff_activation": "gelu",
	"id2label": {
		"0": "Education",
		"1": "Entertainment",
		"2": "Productivity",
		"3": "Sports",
		"4": "News & Magazines",
		"5": "Photography"
	},
	"initializer_range": 0.02,
	"label2id": {
		"Education": 0,
		"Entertainment": 1,
		"News & Magazines": 4,
		"Photography": 5,
		"Productivity": 2,
		"Sports": 3
	},
	"layer_norm_eps": 1e-12,
	"mem_len": null,
	"model_type": "xlnet",
	"n_head": 12,
	"n_layer": 12,
	"pad_token_id": 5,
	"reuse_len": null,
	"same_length": false,
	"start_n_top": 5,
	"summary_activation": "tanh",
	"summary_last_dropout": 0.1,
	"summary_type": "last",
	"summary_use_proj": true,
	"task_specific_params": {
		"text-generation": {
			"do_sample": true,
			"max_length": 250
		}
	},
	"transformers_version": "4.5.1",
	"untie_r": true,
	"use_mems_eval": true,
	"use_mems_train": false,
	"vocab_size": 32000
}