Upload LEDForConditionalGeneration
Browse files- config.json +155 -0
- generation_config.json +8 -0
- pytorch_model.bin +3 -0
config.json
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{
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"_name_or_path": "allenai/led-base-16384",
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"accelerator": null,
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"accumulate_grad_batches": 2,
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"activation_dropout": 0.0,
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"activation_function": "gelu",
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"add_context": false,
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"amp_backend": null,
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"amp_level": 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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1024,
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1024,
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1024,
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1024
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],
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"auto_lr_find": false,
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"auto_scale_batch_size": false,
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"auto_select_gpus": null,
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"batch_size": 8,
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"benchmark": null,
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"bos_token_id": 0,
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"check_val_every_n_epoch": 1,
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"checkpoint": null,
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"class_labels": {
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"delete": 3,
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"ignore": 0,
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"rephrase": 1,
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"split": 2
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},
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"classif_dropout": 0.0,
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"classifier_dropout": 0.0,
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"context_dir": null,
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"context_doc_id": null,
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"context_window": 13,
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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": 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_layerdrop": 0.0,
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"encoder_layers": 6,
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"eos_token_id": 2,
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"eval_beams": null,
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"eval_max_length": null,
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"fast_dev_run": false,
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"gpus": null,
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"gradient_checkpointing": false,
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"gradient_clip_algorithm": null,
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"gradient_clip_val": null,
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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_0": 0,
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"LABEL_1": 1,
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"LABEL_2": 2
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},
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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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"max_encoder_position_embeddings": 16384,
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"max_epochs": null,
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"max_length": 1024,
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"max_samples": -1,
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"max_steps": -1,
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"max_time": null,
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"min_epochs": null,
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"min_steps": null,
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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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"name": "led-doc",
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"num_hidden_layers": 6,
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"num_nodes": 1,
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"num_processes": null,
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"num_sanity_val_steps": 2,
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"op_col": null,
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"op_tokens": [
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"<COPY>",
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"<REPHRASE>",
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"<SPLIT>",
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"<DELETE>"
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],
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"overfit_batches": 0.0,
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"pad_token_id": 1,
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"plan_col": "labels",
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"plan_loss": null,
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"plan_prefix": false,
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"plan_sep": false,
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"plugins": null,
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"precision": 32,
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"prefix_only": false,
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"profiler": null,
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"project": "simplification_models",
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"reading_lvl": null,
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"reload_dataloaders_every_n_epochs": 0,
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"replace_sampler_ddp": true,
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"resume_from_checkpoint": null,
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"save_dir": null,
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"sent_level": false,
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"simple_context_dir": null,
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"simple_context_doc_id": 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_data_dir": null,
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"train_file": "data/wikiauto_docs_train.csv",
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"train_split": 0.9,
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"train_workers": 32,
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"transformers_version": "4.29.1",
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"use_cache": true,
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"val_check_interval": null,
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"val_file": "data/wikiauto_docs_valid.csv",
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"val_metric": "bleu",
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"val_split": 0.05,
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"val_workers": 8,
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"valid_data_dir": null,
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"vocab_size": 50274,
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"wandb_id": null,
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"x_col": "complex",
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"y_col": "simple"
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}
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generation_config.json
ADDED
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{
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"_from_model_config": true,
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"bos_token_id": 0,
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"decoder_start_token_id": 2,
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"eos_token_id": 2,
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"pad_token_id": 1,
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"transformers_version": "4.29.1"
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}
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pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:d51ff5115b9c82f81b77ec40081dc40809a9e38faa9545bd7115b5b96a921f95
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size 647708525
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