End of training

README.md

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+---
+language:
+- mn
+base_model: bayartsogt/mongolian-roberta-base
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: roberta-base-ner-demo
+  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. -->
+
+# roberta-base-ner-demo
+
+This model is a fine-tuned version of [bayartsogt/mongolian-roberta-base](https://huggingface.co/bayartsogt/mongolian-roberta-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1398
+- Precision: 0.9283
+- Recall: 0.9354
+- F1: 0.9318
+- Accuracy: 0.9798
+
+## 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: 16
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 0.171         | 1.0   | 477  | 0.0779          | 0.9033    | 0.9178 | 0.9105 | 0.9767   |
+| 0.0532        | 2.0   | 954  | 0.0857          | 0.9076    | 0.9247 | 0.9161 | 0.9773   |
+| 0.0292        | 3.0   | 1431 | 0.0917          | 0.9229    | 0.9300 | 0.9264 | 0.9794   |
+| 0.0178        | 4.0   | 1908 | 0.1063          | 0.9264    | 0.9317 | 0.9291 | 0.9789   |
+| 0.0101        | 5.0   | 2385 | 0.1097          | 0.9240    | 0.9318 | 0.9279 | 0.9792   |
+| 0.0062        | 6.0   | 2862 | 0.1205          | 0.9257    | 0.9333 | 0.9295 | 0.9794   |
+| 0.0034        | 7.0   | 3339 | 0.1278          | 0.9262    | 0.9337 | 0.9300 | 0.9790   |
+| 0.0028        | 8.0   | 3816 | 0.1335          | 0.9257    | 0.9333 | 0.9295 | 0.9793   |
+| 0.002         | 9.0   | 4293 | 0.1397          | 0.9299    | 0.9365 | 0.9332 | 0.9798   |
+| 0.0014        | 10.0  | 4770 | 0.1398          | 0.9283    | 0.9354 | 0.9318 | 0.9798   |
+
+
+### Framework versions
+
+- Transformers 4.40.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

config.json

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+{
+  "_name_or_path": "bayartsogt/mongolian-roberta-base",
+  "architectures": [
+    "RobertaForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "finetuning_task": "ner",
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "O",
+    "1": "LOC",
+    "2": "MISC",
+    "3": "ORG",
+    "4": "PER"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "LOC": 1,
+    "MISC": 2,
+    "O": 0,
+    "ORG": 3,
+    "PER": 4
+  },
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "roberta",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.40.2",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 50265
+}

model.safetensors

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runs/May14_17-22-47_31095c085d93/events.out.tfevents.1715707377.31095c085d93.361.0

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special_tokens_map.json

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+{
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
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+    "single_word": false
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+  "mask_token": {
+    "content": "<mask>",
+    "lstrip": true,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
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+  "pad_token": {
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+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
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+}

tokenizer_config.json

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+{
+  "add_prefix_space": true,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "errors": "replace",
+  "mask_token": "<mask>",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "tokenizer_class": "RobertaTokenizer",
+  "trim_offsets": true,
+  "unk_token": "<unk>"
+}

training_args.bin

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