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YusufDagdeviren
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SentimentAnalysisFromMovieReviews

Text Classification
Transformers
PyTorch
xlnet
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SentimentAnalysisFromMovieReviews
File size: 1,248 Bytes 
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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": "negative",
      "1": "positive"
    },
    "initializer_range": 0.02,
    "label2id": {
      "negative": 0,
      "positive": 1
    },
    "layer_norm_eps": 1e-12,
    "mem_len": null,
    "model_type": "xlnet",
    "n_head": 12,
    "n_layer": 12,
    "pad_token_id": 5,
    "problem_type": "single_label_classification",
    "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": "4.5.1",
    "untie_r": true,
    "use_mems_eval": true,
    "use_mems_train": false,
    "vocab_size": 32000
}