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flaubert_small_cased_sentiment

Text Classification
Transformers
PyTorch
TensorFlow
French
flaubert
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1
flaubert_small_cased_sentiment
File size: 1,934 Bytes 
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{
  "_name_or_path": "/tmp/sentiment-french-l/checkpoint-38000/",
  "amp": 1,
  "architectures": [
    "FlaubertForSequenceClassification"
  ],
  "asm": false,
  "attention_dropout": 0.1,
  "bos_index": 0,
  "bos_token_id": 0,
  "bptt": 512,
  "causal": false,
  "clip_grad_norm": 5,
  "dropout": 0.1,
  "emb_dim": 512,
  "embed_init_std": 0.02209708691207961,
  "encoder_only": true,
  "end_n_top": 5,
  "eos_index": 1,
  "fp16": true,
  "gelu_activation": true,
  "group_by_size": true,
  "id2label": {
    "0": "very_negative",
    "1": "negative",
    "2": "mixed",
    "3": "positive",
    "4": "very_positive"
  },
  "id2lang": {
    "0": "fr"
  },
  "init_std": 0.02,
  "is_encoder": true,
  "label2id": {
    "very_negative": 0,
    "negative": 1,
    "mixed": 2,
    "positive": 3,
    "very_positive": 4
  },
  "lang2id": {
    "fr": 0
  },
  "lang_id": 0,
  "langs": [
    "fr"
  ],
  "layer_norm_eps": 1e-06,
  "layerdrop": 0.2,
  "lg_sampling_factor": -1,
  "lgs": "fr",
  "mask_index": 5,
  "mask_token_id": 0,
  "max_batch_size": 0,
  "max_position_embeddings": 512,
  "max_vocab": -1,
  "mlm_steps": [
    [
      "fr",
      null
    ]
  ],
  "model_type": "flaubert",
  "n_heads": 8,
  "n_langs": 1,
  "n_layers": 6,
  "pad_index": 2,
  "pad_token_id": 2,
  "pre_norm": true,
  "problem_type": "single_label_classification",
  "sample_alpha": 0,
  "share_inout_emb": true,
  "sinusoidal_embeddings": false,
  "start_n_top": 5,
  "summary_activation": null,
  "summary_first_dropout": 0.1,
  "summary_proj_to_labels": true,
  "summary_type": "first",
  "summary_use_proj": true,
  "tokens_per_batch": -1,
  "torch_dtype": "float32",
  "transformers_version": "4.17.0",
  "unk_index": 3,
  "use_lang_emb": true,
  "vocab_size": 68729,
  "word_blank": 0,
  "word_dropout": 0,
  "word_keep": 0.1,
  "word_mask": 0.8,
  "word_mask_keep_rand": "0.8,0.1,0.1",
  "word_pred": 0.15,
  "word_rand": 0.1,
  "word_shuffle": 0
}