Upload auxiliary files

Upload of auxiliary model files and license, without weights and optimizer, that will be uploaded separately.

LICENSE.txt

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+This model is licensed under the Creative Commons Attribution-NonCommercial-
+ShareAlike 4.0 Generic License. To view a copy of this license, visit
+
+http://creativecommons.org/licenses/by-nc-sa/4.0/
+
+or send a letter to
+Creative Commons, PO Box 1866, Mountain View, CA 94042, USA.

added_tokens.json

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+{
+  ":ADJ": 387,
+  ":ADP": 385,
+  ":ADV": 384,
+  ":AUX": 393,
+  ":CCONJ": 391,
+  ":DET": 390,
+  ":INTJ": 397,
+  ":NOUN": 386,
+  ":NUM": 395,
+  ":PART": 396,
+  ":PRON": 389,
+  ":PROPN": 394,
+  ":PUNCT": 399,
+  ":SCONJ": 392,
+  ":VERB": 388,
+  ":X": 398
+}

config.json

@@ -0,0 +1,32 @@
+{
+  "_name_or_path": "models/allUDLonger.LEMMA/best_model/",
+  "architectures": [
+    "T5ForConditionalGeneration"
+  ],
+  "d_ff": 3584,
+  "d_kv": 64,
+  "d_model": 1472,
+  "decoder_start_token_id": 0,
+  "dense_act_fn": "gelu_new",
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+  "eos_token_id": 1,
+  "feed_forward_proj": "gated-gelu",
+  "gradient_checkpointing": false,
+  "initializer_factor": 1.0,
+  "is_encoder_decoder": true,
+  "is_gated_act": true,
+  "layer_norm_epsilon": 1e-06,
+  "model_type": "t5",
+  "num_decoder_layers": 4,
+  "num_heads": 6,
+  "num_layers": 12,
+  "pad_token_id": 0,
+  "relative_attention_max_distance": 128,
+  "relative_attention_num_buckets": 32,
+  "tie_word_embeddings": false,
+  "tokenizer_class": "ByT5Tokenizer",
+  "torch_dtype": "float32",
+  "transformers_version": "4.30.1",
+  "use_cache": true,
+  "vocab_size": 400
+}

eval_results.txt

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+accuracy = 0.8557743480574774
+eval_loss = 0.28258297592401505
+word_accuracy = 0.8557743480574774
+word_accuracy1 = 0.8557743480574774

generation_config.json

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+{
+  "_from_model_config": true,
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.30.1"
+}

model_args.json

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+{"adafactor_beta1": null, "adafactor_clip_threshold": 1.0, "adafactor_decay_rate": -0.8, "adafactor_eps": [1e-30, 0.001], "adafactor_relative_step": false, "adafactor_scale_parameter": false, "adafactor_warmup_init": false, "adam_betas": [0.9, 0.999], "adam_epsilon": 1e-08, "best_model_dir": "models/eFontesBenchmark.LEMMA/best_model/", "cache_dir": "cache_dir/", "config": {}, "cosine_schedule_num_cycles": 0.5, "custom_layer_parameters": [], "custom_parameter_groups": [], "dataloader_num_workers": 0, "do_lower_case": false, "dynamic_quantize": false, "early_stopping_consider_epochs": false, "early_stopping_delta": 0, "early_stopping_metric": "word_accuracy", "early_stopping_metric_minimize": false, "early_stopping_patience": 3, "encoding": null, "eval_batch_size": 128, "evaluate_during_training": true, "evaluate_during_training_silent": true, "evaluate_during_training_steps": 1000, "evaluate_during_training_verbose": true, "evaluate_each_epoch": true, "fp16": false, "gradient_accumulation_steps": 1, "learning_rate": 0.001, "local_rank": -1, "logging_steps": 50, "loss_type": null, "loss_args": {}, "manual_seed": 0, "max_grad_norm": 1.0, "max_seq_length": 48, "model_name": "models/allUDLonger.LEMMA/best_model/", "model_type": "byt5", "multiprocessing_chunksize": -1, "n_gpu": 1, "no_cache": false, "no_save": false, "not_saved_args": [], "num_train_epochs": 5, "optimizer": "Adafactor", "output_dir": "models/eFontesBenchmark.LEMMA", "overwrite_output_dir": true, "polynomial_decay_schedule_lr_end": 1e-07, "polynomial_decay_schedule_power": 1.0, "process_count": 1, "quantized_model": false, "reprocess_input_data": true, "save_best_model": true, "save_eval_checkpoints": false, "save_model_every_epoch": false, "save_optimizer_and_scheduler": true, "save_steps": 2000, "scheduler": "linear_schedule_with_warmup", "silent": false, "skip_special_tokens": true, "tensorboard_dir": null, "thread_count": null, "tokenizer_name": null, "tokenizer_type": null, "train_batch_size": 128, "train_custom_parameters_only": false, "use_cached_eval_features": false, "use_early_stopping": false, "use_hf_datasets": false, "use_multiprocessing": false, "use_multiprocessing_for_evaluation": false, "wandb_kwargs": {"entity": "enelpol"}, "wandb_project": "efontes-tests", "warmup_ratio": 0.06, "warmup_steps": 40, "weight_decay": 0.0, "model_class": "T5Model", "dataset_class": null, "do_sample": false, "early_stopping": true, "evaluate_generated_text": true, "length_penalty": 2.0, "max_length": 24, "max_steps": -1, "num_beams": 1, "num_return_sequences": 1, "preprocess_inputs": true, "repetition_penalty": 1.0, "special_tokens_list": [], "top_k": 50, "top_p": 0.95, "use_multiprocessed_decoding": false}

scheduler.pt

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special_tokens_map.json

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tokenizer_config.json

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