Training in progress, epoch 1

.gitignore

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+checkpoint-*/

config.json

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+{
+  "_name_or_path": "fnlp/bart-base-chinese",
+  "activation_dropout": 0.1,
+  "activation_function": "gelu",
+  "add_bias_logits": false,
+  "add_final_layer_norm": false,
+  "architectures": [
+    "BartForSequenceClassification"
+  ],
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+  "bos_token_id": 101,
+  "classif_dropout": 0.1,
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+  "decoder_attention_heads": 12,
+  "decoder_ffn_dim": 3072,
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+  "decoder_start_token_id": 102,
+  "dropout": 0.1,
+  "early_stopping": true,
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+  "encoder_layers": 6,
+  "eos_token_id": 102,
+  "forced_eos_token_id": 102,
+  "gradient_checkpointing": false,
+  "id2label": {
+    "0": "Down",
+    "1": "Up"
+  },
+  "init_std": 0.02,
+  "is_encoder_decoder": true,
+  "label2id": {
+    "Down": 0,
+    "Up": 1
+  },
+  "max_position_embeddings": 1024,
+  "model_type": "bart",
+  "no_repeat_ngram_size": 3,
+  "normalize_before": false,
+  "normalize_embedding": true,
+  "num_beams": 4,
+  "num_hidden_layers": 6,
+  "pad_token_id": 0,
+  "problem_type": "single_label_classification",
+  "scale_embedding": false,
+  "task_specific_params": {
+    "summarization": {
+      "length_penalty": 1.0,
+      "max_length": 128,
+      "min_length": 12,
+      "num_beams": 4
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+    "summarization_cnn": {
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+      "min_length": 56,
+      "num_beams": 4
+    },
+    "summarization_xsum": {
+      "length_penalty": 1.0,
+      "max_length": 62,
+      "min_length": 11,
+      "num_beams": 6
+    }
+  },
+  "tokenizer_class": "BertTokenizer",
+  "torch_dtype": "float32",
+  "transformers_version": "4.31.0",
+  "use_cache": true,
+  "vocab_size": 51271
+}

pytorch_model.bin

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training_args.bin

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