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Training in progress, epoch 1

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Files changed (3) hide show
  1. config.json +74 -0
  2. pytorch_model.bin +3 -0
  3. training_args.bin +3 -0
config.json ADDED
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+ {
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+ "_name_or_path": "fnlp/bart-base-chinese",
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+ "activation_dropout": 0.1,
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+ "activation_function": "gelu",
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+ "add_bias_logits": false,
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+ "add_final_layer_norm": false,
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+ "architectures": [
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+ "BartForSequenceClassification"
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+ ],
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+ "attention_dropout": 0.1,
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+ "bos_token_id": 101,
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+ "classif_dropout": 0.1,
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+ "classifier_dropout": 0.0,
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+ "d_model": 768,
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+ "decoder_attention_heads": 12,
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+ "decoder_ffn_dim": 3072,
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+ "decoder_layerdrop": 0.0,
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+ "decoder_layers": 6,
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+ "decoder_start_token_id": 102,
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+ "dropout": 0.1,
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+ "early_stopping": true,
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+ "encoder_attention_heads": 12,
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+ "encoder_ffn_dim": 3072,
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+ "encoder_layerdrop": 0.0,
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+ "encoder_layers": 6,
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+ "eos_token_id": 102,
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+ "forced_eos_token_id": 102,
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+ "gradient_checkpointing": false,
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+ "id2label": {
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+ "0": "Down",
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+ "1": "Up"
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+ },
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+ "init_std": 0.02,
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+ "is_encoder_decoder": true,
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+ "label2id": {
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+ "Down": 0,
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+ "Up": 1
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+ },
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+ "max_position_embeddings": 1024,
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+ "model_type": "bart",
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+ "no_repeat_ngram_size": 3,
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+ "normalize_before": false,
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+ "normalize_embedding": true,
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+ "num_beams": 4,
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+ "num_hidden_layers": 6,
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+ "pad_token_id": 0,
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+ "problem_type": "single_label_classification",
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+ "scale_embedding": false,
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+ "task_specific_params": {
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+ "summarization": {
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+ "length_penalty": 1.0,
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+ "max_length": 128,
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+ "min_length": 12,
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+ "num_beams": 4
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+ },
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+ "summarization_cnn": {
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+ "length_penalty": 2.0,
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+ "max_length": 142,
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+ "min_length": 56,
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+ "num_beams": 4
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+ },
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+ "summarization_xsum": {
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+ "length_penalty": 1.0,
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+ "max_length": 62,
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+ "min_length": 11,
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+ "num_beams": 6
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+ }
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+ },
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+ "tokenizer_class": "BertTokenizer",
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.33.3",
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+ "use_cache": true,
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+ "vocab_size": 51271
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+ }
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