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README.md ADDED
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+ ---
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+ language:
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+ - fr
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+ tags:
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+ - nli
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+ metrics:
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+ - f1
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+ ---
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+
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+ ## Eval results
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+ We obtain the following results on ```validation``` and ```test``` sets:
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+
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+ | Set | F1<sub>micro</sub> | F1<sub>macro</sub> |
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+ |------------|--------------------|--------------------|
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+ | validation | 85.8 | 85.9 |
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+ | test | 84.2 | 84.3 |
config.json ADDED
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+ {
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+ "_name_or_path": "waboucay/camembert-large-finetuned-xnli_fr_3_classes",
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+ "architectures": [
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+ "CamembertForSequenceClassification"
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+ ],
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+ "attention_probs_dropout_prob": 0.1,
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+ "bos_token_id": 0,
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+ "classifier_dropout": null,
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+ "eos_token_id": 2,
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.1,
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+ "hidden_size": 1024,
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+ "id2label": {
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+ "0": "entailment",
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+ "1": "contradiction",
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+ "2": "neutral"
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+ },
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+ "initializer_range": 0.02,
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+ "intermediate_size": 4096,
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+ "label2id": {
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+ "contradiction": 1,
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+ "entailment": 0,
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+ "neutral": 2
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+ },
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+ "layer_norm_eps": 1e-05,
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+ "max_position_embeddings": 514,
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+ "model_type": "camembert",
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+ "num_attention_heads": 16,
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+ "num_hidden_layers": 24,
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+ "output_past": true,
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+ "pad_token_id": 1,
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+ "position_embedding_type": "absolute",
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+ "problem_type": "single_label_classification",
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.17.0",
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+ "type_vocab_size": 1,
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+ "use_cache": true,
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+ "vocab_size": 32005
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+ }
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