End of training

README.md

@@ -4,6 +4,11 @@ language:
 base_model: bayartsogt/mongolian-roberta-base
 tags:
 - generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
 model-index:
 - name: roberta-base-ner-demo
   results: []
@@ -15,6 +20,12 @@ 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: 0.1231
+- Precision: 0.9199
+- Recall: 0.9222
+- F1: 0.9210
+- Accuracy: 0.9811
 
 ## Model description
 
@@ -41,9 +52,25 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 10
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 0.1804        | 1.0   | 477  | 0.0823          | 0.8069    | 0.8646 | 0.8347 | 0.9712   |
+| 0.0667        | 2.0   | 954  | 0.0779          | 0.8221    | 0.8807 | 0.8504 | 0.9738   |
+| 0.0392        | 3.0   | 1431 | 0.0953          | 0.8444    | 0.8853 | 0.8644 | 0.9744   |
+| 0.0205        | 4.0   | 1908 | 0.0942          | 0.9201    | 0.9148 | 0.9175 | 0.9802   |
+| 0.0113        | 5.0   | 2385 | 0.1011          | 0.9168    | 0.9213 | 0.9191 | 0.9812   |
+| 0.0093        | 6.0   | 2862 | 0.1053          | 0.9087    | 0.9183 | 0.9135 | 0.9805   |
+| 0.007         | 7.0   | 3339 | 0.1162          | 0.9211    | 0.9213 | 0.9212 | 0.9815   |
+| 0.0037        | 8.0   | 3816 | 0.1230          | 0.9167    | 0.9202 | 0.9185 | 0.9806   |
+| 0.0025        | 9.0   | 4293 | 0.1215          | 0.9198    | 0.9229 | 0.9213 | 0.9813   |
+| 0.0022        | 10.0  | 4770 | 0.1231          | 0.9199    | 0.9222 | 0.9210 | 0.9811   |
+
+
 ### Framework versions
 
-- Transformers 4.40.1
-- Pytorch 2.2.1+cu121
+- Transformers 4.41.0
+- Pytorch 2.3.0+cu121
 - Datasets 2.19.1
 - Tokenizers 0.19.1

config.json

@@ -36,7 +36,7 @@
   "pad_token_id": 1,
   "position_embedding_type": "absolute",
   "torch_dtype": "float32",
-  "transformers_version": "4.40.1",
+  "transformers_version": "4.41.0",
   "type_vocab_size": 1,
   "use_cache": true,
   "vocab_size": 50265

model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:52af65cc7d083ebf315595c7ac88425f1a66a95e7ddabe02fcad879bbfdc92fb
 size 496259468

runs/May21_20-28-18_21ce28cda4b9/events.out.tfevents.1716323325.21ce28cda4b9.1723.0

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+size 12310

training_args.bin

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+size 5048