|
{ |
|
"_name_or_path": "./reddit_ner/reddit-nerxlnet-base-cased.model/", |
|
"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": "LABEL_0", |
|
"1": "LABEL_1", |
|
"2": "LABEL_2", |
|
"3": "LABEL_3" |
|
}, |
|
"initializer_range": 0.02, |
|
"label2id": { |
|
"LABEL_0": 0, |
|
"LABEL_1": 1, |
|
"LABEL_2": 2, |
|
"LABEL_3": 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 |
|
} |
|
}, |
|
"torch_dtype": "float32", |
|
"transformers_version": "4.16.2", |
|
"untie_r": true, |
|
"use_mems_eval": true, |
|
"use_mems_train": false, |
|
"vocab_size": 32000 |
|
} |
|
|