End of training

README.md

@@ -4,11 +4,6 @@ language:
 base_model: bayartsogt/mongolian-roberta-base
 tags:
 - generated_from_trainer
-metrics:
-- precision
-- recall
-- f1
-- accuracy
 model-index:
 - name: roberta-base-ner-demo
   results: []
@@ -21,11 +16,16 @@ should probably proofread and complete it, then remove this comment. -->
 
 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: 0.1273
-- Precision: 0.9292
-- Recall: 0.9361
-- F1: 0.9326
-- Accuracy: 0.9808
+- eval_loss: 0.0777
+- eval_precision: 0.9119
+- eval_recall: 0.9279
+- eval_f1: 0.9198
+- eval_accuracy: 0.9784
+- eval_runtime: 982.1092
+- eval_samples_per_second: 2.587
+- eval_steps_per_second: 0.081
+- epoch: 2.0
+- step: 954
 
 ## Model description
 
@@ -52,22 +52,6 @@ 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 |
-|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.1641        | 1.0   | 477  | 0.0798          | 0.9097    | 0.9220 | 0.9158 | 0.9782   |
-| 0.0522        | 2.0   | 954  | 0.0739          | 0.9210    | 0.9341 | 0.9275 | 0.9797   |
-| 0.0285        | 3.0   | 1431 | 0.0793          | 0.9265    | 0.9350 | 0.9307 | 0.9809   |
-| 0.0163        | 4.0   | 1908 | 0.0896          | 0.9269    | 0.9336 | 0.9303 | 0.9800   |
-| 0.0089        | 5.0   | 2385 | 0.1072          | 0.9256    | 0.9333 | 0.9294 | 0.9799   |
-| 0.0058        | 6.0   | 2862 | 0.1123          | 0.9240    | 0.9336 | 0.9288 | 0.9798   |
-| 0.0033        | 7.0   | 3339 | 0.1220          | 0.9285    | 0.9347 | 0.9316 | 0.9803   |
-| 0.0023        | 8.0   | 3816 | 0.1252          | 0.9278    | 0.9353 | 0.9315 | 0.9804   |
-| 0.0019        | 9.0   | 4293 | 0.1250          | 0.9282    | 0.9364 | 0.9323 | 0.9809   |
-| 0.0014        | 10.0  | 4770 | 0.1273          | 0.9292    | 0.9361 | 0.9326 | 0.9808   |
-
-
 ### Framework versions
 
 - Transformers 4.38.2

model.safetensors

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training_args.bin

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