Training in progress, step 500

.gitignore

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+checkpoint-*/

config.json

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+{
+ "_name_or_path": "distilbert-base-uncased",
+ "activation": "gelu",
+ "architectures": [
+ "DistilBertForSequenceClassification"
+ ],
+ "attention_dropout": 0.1,
+ "dim": 768,
+ "dropout": 0.1,
+ "hidden_dim": 3072,
+ "id2label": {
+ "0": "sadness",
+ "1": "joy",
+ "2": "love",
+ "3": "anger",
+ "4": "fear",
+ "5": "surprise"
+ },
+ "initializer_range": 0.02,
+ "label2id": {
+ "anger": 3,
+ "fear": 4,
+ "joy": 1,
+ "love": 2,
+ "sadness": 0,
+ "surprise": 5
+ },
+ "max_position_embeddings": 512,
+ "model_type": "distilbert",
+ "n_heads": 12,
+ "n_layers": 6,
+ "pad_token_id": 0,
+ "problem_type": "single_label_classification",
+ "qa_dropout": 0.1,
+ "seq_classif_dropout": 0.2,
+ "sinusoidal_pos_embds": false,
+ "tie_weights_": true,
+ "torch_dtype": "float32",
+ "transformers_version": "4.30.2",
+ "vocab_size": 30522
+}

pytorch_model.bin

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special_tokens_map.json

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+{
+ "cls_token": "[CLS]",
+ "mask_token": "[MASK]",
+ "pad_token": "[PAD]",
+ "sep_token": "[SEP]",
+ "unk_token": "[UNK]"
+}

tokenizer_config.json

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+{
+ "clean_up_tokenization_spaces": true,
+ "cls_token": "[CLS]",
+ "do_lower_case": true,
+ "mask_token": "[MASK]",
+ "model_max_length": 512,
+ "pad_token": "[PAD]",
+ "sep_token": "[SEP]",
+ "strip_accents": null,
+ "tokenize_chinese_chars": true,
+ "tokenizer_class": "DistilBertTokenizer",
+ "unk_token": "[UNK]"
+}

training_args.bin

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