End of training

README.md

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+---
+license: apache-2.0
+base_model: bert-base-multilingual-cased
+tags:
+- generated_from_trainer
+model-index:
+- name: bert-base-multilingual-cased-finetuned-CAJ
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# bert-base-multilingual-cased-finetuned-CAJ
+
+This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4226
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 64
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 50
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.0475        | 1.0   | 4    | 0.9036          |
+| 0.856         | 2.0   | 8    | 0.7524          |
+| 0.8014        | 3.0   | 12   | 0.9149          |
+| 0.7855        | 4.0   | 16   | 0.8052          |
+| 0.6329        | 5.0   | 20   | 0.8866          |
+| 0.7714        | 6.0   | 24   | 0.9880          |
+| 0.6925        | 7.0   | 28   | 0.7490          |
+| 0.6408        | 8.0   | 32   | 0.6889          |
+| 0.6983        | 9.0   | 36   | 0.7648          |
+| 0.6028        | 10.0  | 40   | 0.4431          |
+| 0.5899        | 11.0  | 44   | 0.6020          |
+| 0.6032        | 12.0  | 48   | 0.5415          |
+| 0.5282        | 13.0  | 52   | 0.5124          |
+| 0.5528        | 14.0  | 56   | 0.6242          |
+| 0.5191        | 15.0  | 60   | 0.4651          |
+| 0.5307        | 16.0  | 64   | 0.7029          |
+| 0.5309        | 17.0  | 68   | 0.5505          |
+| 0.4425        | 18.0  | 72   | 0.4792          |
+| 0.4594        | 19.0  | 76   | 0.3245          |
+| 0.4425        | 20.0  | 80   | 0.5562          |
+| 0.4409        | 21.0  | 84   | 0.4026          |
+| 0.442         | 22.0  | 88   | 0.4993          |
+| 0.4535        | 23.0  | 92   | 0.5693          |
+| 0.3707        | 24.0  | 96   | 0.4002          |
+| 0.3914        | 25.0  | 100  | 0.5969          |
+| 0.3493        | 26.0  | 104  | 0.3247          |
+| 0.3595        | 27.0  | 108  | 0.3832          |
+| 0.395         | 28.0  | 112  | 0.4497          |
+| 0.4186        | 29.0  | 116  | 0.3194          |
+| 0.4131        | 30.0  | 120  | 0.3699          |
+| 0.357         | 31.0  | 124  | 0.4968          |
+| 0.3369        | 32.0  | 128  | 0.4404          |
+| 0.3734        | 33.0  | 132  | 0.4266          |
+| 0.342         | 34.0  | 136  | 0.5202          |
+| 0.3643        | 35.0  | 140  | 0.3872          |
+| 0.3362        | 36.0  | 144  | 0.5037          |
+| 0.3302        | 37.0  | 148  | 0.5572          |
+| 0.3241        | 38.0  | 152  | 0.4138          |
+| 0.299         | 39.0  | 156  | 0.2888          |
+| 0.3383        | 40.0  | 160  | 0.5453          |
+| 0.3786        | 41.0  | 164  | 0.3909          |
+| 0.3121        | 42.0  | 168  | 0.4414          |
+| 0.3357        | 43.0  | 172  | 0.3216          |
+| 0.3601        | 44.0  | 176  | 0.3046          |
+| 0.2662        | 45.0  | 180  | 0.4090          |
+| 0.2979        | 46.0  | 184  | 0.4571          |
+| 0.4222        | 47.0  | 188  | 0.4513          |
+| 0.3006        | 48.0  | 192  | 0.3829          |
+| 0.3385        | 49.0  | 196  | 0.3473          |
+| 0.2711        | 50.0  | 200  | 0.3419          |
+
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 2.2.2+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

config.json

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+{
+  "_name_or_path": "bert-base-multilingual-cased",
+  "architectures": [
+    "BertForMaskedLM"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "directionality": "bidi",
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "pooler_fc_size": 768,
+  "pooler_num_attention_heads": 12,
+  "pooler_num_fc_layers": 3,
+  "pooler_size_per_head": 128,
+  "pooler_type": "first_token_transform",
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.39.3",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 119547
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "pad_token_id": 0,
+  "transformers_version": "4.39.3"
+}

model.safetensors

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runs/Sep10_06-26-05_cbd3afa14c44/events.out.tfevents.1725949568.cbd3afa14c44.388.2

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special_tokens_map.json

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+{
+  "cls_token": "[CLS]",
+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
+}

tokenizer_config.json

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+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "[PAD]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100": {
+      "content": "[UNK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "101": {
+      "content": "[CLS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+    "103": {
+      "content": "[MASK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_lower_case": false,
+  "mask_token": "[MASK]",
+  "model_max_length": 512,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]"
+}

training_args.bin

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