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-turshilt3
+  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-turshilt3
+
+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: 0.0402
+- Precision: 0.9794
+- Recall: 0.9809
+- F1: 0.9801
+- Accuracy: 0.9939
+
+## 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: 3e-05
+- train_batch_size: 32
+- eval_batch_size: 64
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 15
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-------:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 0.028         | 0.9958  | 119  | 0.0243          | 0.9769    | 0.9804 | 0.9786 | 0.9941   |
+| 0.0193        | 2.0     | 239  | 0.0279          | 0.9783    | 0.9813 | 0.9798 | 0.9942   |
+| 0.0113        | 2.9958  | 358  | 0.0307          | 0.9773    | 0.9806 | 0.9790 | 0.9938   |
+| 0.0069        | 4.0     | 478  | 0.0324          | 0.9764    | 0.9789 | 0.9776 | 0.9935   |
+| 0.0044        | 4.9958  | 597  | 0.0378          | 0.9762    | 0.9785 | 0.9774 | 0.9934   |
+| 0.0034        | 6.0     | 717  | 0.0373          | 0.9743    | 0.9771 | 0.9757 | 0.9933   |
+| 0.0029        | 6.9958  | 836  | 0.0353          | 0.9775    | 0.9799 | 0.9787 | 0.9938   |
+| 0.002         | 8.0     | 956  | 0.0385          | 0.9787    | 0.9810 | 0.9798 | 0.9938   |
+| 0.0017        | 8.9958  | 1075 | 0.0393          | 0.9767    | 0.9795 | 0.9781 | 0.9936   |
+| 0.0013        | 10.0    | 1195 | 0.0396          | 0.9781    | 0.9794 | 0.9788 | 0.9935   |
+| 0.0009        | 10.9958 | 1314 | 0.0398          | 0.9792    | 0.9812 | 0.9802 | 0.9938   |
+| 0.0008        | 12.0    | 1434 | 0.0393          | 0.9794    | 0.9812 | 0.9803 | 0.9938   |
+| 0.0008        | 12.9958 | 1553 | 0.0404          | 0.9797    | 0.9808 | 0.9803 | 0.9938   |
+| 0.0006        | 14.0    | 1673 | 0.0404          | 0.9791    | 0.9808 | 0.9799 | 0.9937   |
+| 0.0006        | 14.9372 | 1785 | 0.0402          | 0.9794    | 0.9809 | 0.9801 | 0.9939   |
+
+
+### 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/May20_15-00-51_82e5d3590b5c/events.out.tfevents.1716217253.82e5d3590b5c.324.1

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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
+  },
+  "cls_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
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+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "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": {
+    "content": "<pad>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
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+    "lstrip": false,
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+    "single_word": false
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+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

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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+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+      "lstrip": true,
+      "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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