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.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

config.json

@@ -0,0 +1,67 @@
+{
+  "_name_or_path": "xlm-roberta-large",
+  "architectures": [
+    "XLMRobertaForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
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+  "eos_token_id": 2,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 1024,
+  "id2label": {
+    "0": "education",
+    "1": "human interest",
+    "2": "society",
+    "3": "sport",
+    "4": "crime, law and justice",
+    "5": "disaster, accident and emergency incident",
+    "6": "arts, culture, entertainment and media",
+    "7": "politics",
+    "8": "economy, business and finance",
+    "9": "lifestyle and leisure",
+    "10": "science and technology",
+    "11": "health",
+    "12": "labour",
+    "13": "religion",
+    "14": "weather",
+    "15": "environment",
+    "16": "conflict, war and peace"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "label2id": {
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+    "human interest": 1,
+    "society": 2,
+    "sport": 3,
+    "crime, law and justice": 4,
+    "disaster, accident and emergency incident": 5,
+    "arts, culture, entertainment and media": 6,
+    "politics": 7,
+    "economy, business and finance": 8,
+    "lifestyle and leisure": 9,
+    "science and technology": 10,
+    "health": 11,
+    "labour": 12,
+    "religion": 13,
+    "weather": 14,
+    "environment": 15,
+    "conflict, war and peace": 16
+  },
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "xlm-roberta",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 24,
+  "output_past": true,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.42.4",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 250002
+}

model.safetensors

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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": true, "adafactor_scale_parameter": true, "adafactor_warmup_init": true, "adam_betas": [0.9, 0.999], "adam_epsilon": 1e-08, "best_model_dir": "outputs/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": "eval_loss", "early_stopping_metric_minimize": true, "early_stopping_patience": 3, "encoding": null, "eval_batch_size": 100, "evaluate_during_training": false, "evaluate_during_training_silent": true, "evaluate_during_training_steps": 2000, "evaluate_during_training_verbose": false, "evaluate_each_epoch": true, "fp16": true, "gradient_accumulation_steps": 1, "learning_rate": 8e-06, "local_rank": -1, "logging_steps": 50, "loss_type": null, "loss_args": {}, "manual_seed": null, "max_grad_norm": 1.0, "max_seq_length": 512, "model_name": "xlm-roberta-large", "model_type": "xlmroberta", "multiprocessing_chunksize": -1, "n_gpu": 1, "no_cache": false, "no_save": false, "not_saved_args": [], "num_train_epochs": 5, "optimizer": "AdamW", "output_dir": "15k-model-v2", "overwrite_output_dir": true, "polynomial_decay_schedule_lr_end": 1e-07, "polynomial_decay_schedule_power": 1.0, "process_count": 254, "quantized_model": false, "reprocess_input_data": true, "save_best_model": true, "save_eval_checkpoints": true, "save_model_every_epoch": false, "save_optimizer_and_scheduler": true, "save_steps": -1, "scheduler": "linear_schedule_with_warmup", "silent": true, "skip_special_tokens": true, "tensorboard_dir": null, "thread_count": null, "tokenizer_name": "xlm-roberta-large", "tokenizer_type": null, "train_batch_size": 32, "train_custom_parameters_only": false, "trust_remote_code": false, "use_cached_eval_features": false, "use_early_stopping": false, "use_hf_datasets": false, "use_multiprocessing": false, "use_multiprocessing_for_evaluation": false, "wandb_kwargs": {}, "wandb_project": "IPTC", "warmup_ratio": 0.06, "warmup_steps": 141, "weight_decay": 0.0, "model_class": "ClassificationModel", "labels_list": ["education", "human interest", "society", "sport", "crime, law and justice", "disaster, accident and emergency incident", "arts, culture, entertainment and media", "politics", "economy, business and finance", "lifestyle and leisure", "science and technology", "health", "labour", "religion", "weather", "environment", "conflict, war and peace"], "labels_map": {"education": 0, "human interest": 1, "society": 2, "sport": 3, "crime, law and justice": 4, "disaster, accident and emergency incident": 5, "arts, culture, entertainment and media": 6, "politics": 7, "economy, business and finance": 8, "lifestyle and leisure": 9, "science and technology": 10, "health": 11, "labour": 12, "religion": 13, "weather": 14, "environment": 15, "conflict, war and peace": 16}, "lazy_delimiter": "\t", "lazy_labels_column": 1, "lazy_loading": false, "lazy_loading_start_line": 1, "lazy_text_a_column": null, "lazy_text_b_column": null, "lazy_text_column": 0, "onnx": false, "regression": false, "sliding_window": false, "special_tokens_list": [], "stride": 0.8, "tie_value": 1}

sentencepiece.bpe.model

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+size 5069051

special_tokens_map.json

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+  "cls_token": "<s>",
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+  "mask_token": {
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+    "single_word": false
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+}

tokenizer.json

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tokenizer_config.json

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+{
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+  "clean_up_tokenization_spaces": true,
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "mask_token": "<mask>",
+  "model_max_length": 512,
+  "pad_token": "<pad>",
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+  "tokenizer_class": "XLMRobertaTokenizer",
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+}

training_args.bin

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