End of training

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,76 @@
+---
+license: mit
+base_model: xlm-roberta-base
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: xlm-roberta-base-kyrgyzNER
+  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. -->
+
+# xlm-roberta-base-kyrgyzNER
+
+This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3229
+- Precision: 0.7042
+- Recall: 0.6871
+- F1: 0.6956
+- Accuracy: 0.9119
+
+## 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: 1e-05
+- train_batch_size: 64
+- eval_batch_size: 64
+- seed: 1
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 800
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 1.0   | 88   | 3.8135          | 0.0001    | 0.0009 | 0.0002 | 0.0002   |
+| No log        | 2.0   | 176  | 1.3867          | 0.0       | 0.0    | 0.0    | 0.7162   |
+| No log        | 3.0   | 264  | 0.9276          | 0.1684    | 0.0357 | 0.0590 | 0.7678   |
+| No log        | 4.0   | 352  | 0.6467          | 0.4470    | 0.2771 | 0.3421 | 0.8420   |
+| No log        | 5.0   | 440  | 0.5200          | 0.6394    | 0.5282 | 0.5785 | 0.8792   |
+| 1.647         | 6.0   | 528  | 0.4383          | 0.6712    | 0.5918 | 0.6290 | 0.8927   |
+| 1.647         | 7.0   | 616  | 0.3847          | 0.6724    | 0.6439 | 0.6578 | 0.9028   |
+| 1.647         | 8.0   | 704  | 0.3586          | 0.6857    | 0.6575 | 0.6713 | 0.9061   |
+| 1.647         | 9.0   | 792  | 0.3422          | 0.6786    | 0.6717 | 0.6751 | 0.9070   |
+| 1.647         | 10.0  | 880  | 0.3229          | 0.7042    | 0.6871 | 0.6956 | 0.9119   |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.17.0
+- Tokenizers 0.15.2

config.json

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+  ],
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+  "hidden_act": "gelu",
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+  "hidden_size": 768,
+  "id2label": {
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