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-turshilt1
+  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-turshilt1
+
+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: 0.1003
+- Precision: 0.8136
+- Recall: 0.8747
+- F1: 0.8430
+- Accuracy: 0.9695
+
+## 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 |
+|:-------------:|:-------:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 0.8083        | 0.9958  | 119  | 0.2969          | 0.4887    | 0.5017 | 0.4951 | 0.9058   |
+| 0.192         | 2.0     | 239  | 0.1250          | 0.7392    | 0.8056 | 0.7709 | 0.9568   |
+| 0.1209        | 2.9958  | 358  | 0.1057          | 0.7715    | 0.8421 | 0.8052 | 0.9632   |
+| 0.0955        | 4.0     | 478  | 0.0979          | 0.7868    | 0.8558 | 0.8198 | 0.9655   |
+| 0.0801        | 4.9958  | 597  | 0.0949          | 0.7889    | 0.8633 | 0.8244 | 0.9669   |
+| 0.0692        | 6.0     | 717  | 0.0951          | 0.8031    | 0.8662 | 0.8335 | 0.9679   |
+| 0.0617        | 6.9958  | 836  | 0.0985          | 0.8037    | 0.8671 | 0.8342 | 0.9674   |
+| 0.0547        | 8.0     | 956  | 0.0992          | 0.8072    | 0.8696 | 0.8373 | 0.9680   |
+| 0.0512        | 8.9958  | 1075 | 0.0968          | 0.8070    | 0.8727 | 0.8385 | 0.9689   |
+| 0.0458        | 10.0    | 1195 | 0.0976          | 0.8082    | 0.8748 | 0.8402 | 0.9691   |
+| 0.0437        | 10.9958 | 1314 | 0.0980          | 0.8163    | 0.8753 | 0.8447 | 0.9694   |
+| 0.0414        | 12.0    | 1434 | 0.0982          | 0.8146    | 0.8755 | 0.8439 | 0.9694   |
+| 0.0404        | 12.9958 | 1553 | 0.1002          | 0.8145    | 0.8745 | 0.8434 | 0.9695   |
+| 0.0382        | 14.0    | 1673 | 0.1010          | 0.8114    | 0.8735 | 0.8414 | 0.9692   |
+| 0.0385        | 14.9372 | 1785 | 0.1003          | 0.8136    | 0.8747 | 0.8430 | 0.9695   |
+
+
+### 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/May15_06-54-15_124101dcf72c/events.out.tfevents.1715756055.124101dcf72c.2484.0

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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
+  },
+  "cls_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
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+  "eos_token": {
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+    "lstrip": false,
+    "normalized": 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": {
+    "content": "<pad>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
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+  "sep_token": {
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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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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+      "content": "<mask>",
+      "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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