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Upload LEDForConditionalGeneration

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  1. config.json +155 -0
  2. generation_config.json +8 -0
  3. pytorch_model.bin +3 -0
config.json ADDED
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+ {
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+ "amp_backend": null,
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+ "architectures": [
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+ "LEDForConditionalGeneration"
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+ ],
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+ "attention_dropout": 0.0,
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+ "attention_window": [
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+ 1024,
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+ 1024,
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+ "auto_select_gpus": null,
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+ "checkpoint": null,
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+ "class_labels": {
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+ "delete": 3,
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+ "rephrase": 1,
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+ "split": 2
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+ "decoder_layers": 6,
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+ "decoder_start_token_id": 2,
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+ "default_root_dir": null,
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+ "detect_anomaly": false,
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+ "devices": "2",
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+ "dropout": 0.1,
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+ "enable_checkpointing": true,
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+ "enable_model_summary": true,
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+ "enable_progress_bar": true,
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+ "encoder_attention_heads": 12,
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+ "encoder_ffn_dim": 3072,
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+ "encoder_layers": 6,
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+ "eos_token_id": 2,
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+ "fast_dev_run": false,
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+ "id2label": {
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+ "0": "LABEL_0",
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+ "1": "LABEL_1",
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+ "2": "LABEL_2"
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+ },
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+ "inference_mode": true,
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+ "init_std": 0.02,
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+ "ipus": null,
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+ "is_encoder_decoder": true,
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+ "label2id": {
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+ "LABEL_1": 1,
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+ "LABEL_2": 2
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+ "limit_predict_batches": null,
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+ "limit_test_batches": null,
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+ "limit_train_batches": null,
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+ "limit_val_batches": null,
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+ "log_every_n_steps": 50,
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+ "logger": true,
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+ "longformer": true,
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+ "lr": 2e-05,
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+ "lr_scheduler": false,
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+ "max_decoder_position_embeddings": 1024,
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+ "model_type": "led",
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+ "move_metrics_to_cpu": false,
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+ "multiple_trainloader_mode": "max_size_cycle",
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+ "num_hidden_layers": 6,
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+ "project": "simplification_models",
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+ "sent_level": true,
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+ "simple_context_dir": null,
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+ "skip_val_gen": true,
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+ "strategy": null,
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+ "sync_batchnorm": false,
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+ "torch_dtype": "float32",
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+ "tpu_cores": null,
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+ "track_grad_norm": -1,
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+ "train_check_interval": 0.01,
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+ "train_file": "data/wikiauto_para_train.csv",
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+ "val_file": "data/wikiauto_para_valid.csv",
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+ "val_metric": "bleu",
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+ "val_split": 0.05,
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+ }
generation_config.json ADDED
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+ {
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+ "transformers_version": "4.29.1"
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+ }
pytorch_model.bin ADDED
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+ size 647708525