End of training

README.md

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+---
+license: apache-2.0
+base_model: Buseak/spellcorrector_20_02_050_qwerty_v7
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: spellcorrector_20_02_050_qwerty_v11
+  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. -->
+
+# spellcorrector_20_02_050_qwerty_v11
+
+This model is a fine-tuned version of [Buseak/spellcorrector_20_02_050_qwerty_v7](https://huggingface.co/Buseak/spellcorrector_20_02_050_qwerty_v7) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0001
+- Precision: 0.9989
+- Recall: 0.9984
+- F1: 0.9987
+- Accuracy: 1.0000
+
+## 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: 2e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 20
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 0.0558        | 1.0   | 967   | 0.0281          | 0.9919    | 0.9909 | 0.9914 | 0.9917   |
+| 0.0391        | 2.0   | 1934  | 0.0200          | 0.9941    | 0.9930 | 0.9936 | 0.9940   |
+| 0.0295        | 3.0   | 2901  | 0.0141          | 0.9952    | 0.9941 | 0.9946 | 0.9957   |
+| 0.0239        | 4.0   | 3868  | 0.0107          | 0.9957    | 0.9952 | 0.9954 | 0.9968   |
+| 0.0201        | 5.0   | 4835  | 0.0075          | 0.9957    | 0.9962 | 0.9960 | 0.9977   |
+| 0.0174        | 6.0   | 5802  | 0.0054          | 0.9984    | 0.9968 | 0.9976 | 0.9984   |
+| 0.0138        | 7.0   | 6769  | 0.0042          | 0.9979    | 0.9973 | 0.9976 | 0.9988   |
+| 0.0117        | 8.0   | 7736  | 0.0028          | 0.9984    | 0.9979 | 0.9981 | 0.9992   |
+| 0.0098        | 9.0   | 8703  | 0.0021          | 0.9979    | 0.9979 | 0.9979 | 0.9994   |
+| 0.0081        | 10.0  | 9670  | 0.0014          | 0.9984    | 0.9984 | 0.9984 | 0.9996   |
+| 0.0073        | 11.0  | 10637 | 0.0011          | 0.9989    | 0.9984 | 0.9987 | 0.9997   |
+| 0.006         | 12.0  | 11604 | 0.0009          | 0.9989    | 0.9984 | 0.9987 | 0.9998   |
+| 0.0056        | 13.0  | 12571 | 0.0006          | 0.9989    | 0.9984 | 0.9987 | 0.9999   |
+| 0.0045        | 14.0  | 13538 | 0.0004          | 0.9989    | 0.9984 | 0.9987 | 0.9999   |
+| 0.0039        | 15.0  | 14505 | 0.0003          | 0.9989    | 0.9984 | 0.9987 | 0.9999   |
+| 0.0033        | 16.0  | 15472 | 0.0003          | 0.9989    | 0.9984 | 0.9987 | 1.0000   |
+| 0.0029        | 17.0  | 16439 | 0.0002          | 0.9989    | 0.9984 | 0.9987 | 1.0000   |
+| 0.0026        | 18.0  | 17406 | 0.0002          | 0.9989    | 0.9984 | 0.9987 | 1.0000   |
+| 0.0023        | 19.0  | 18373 | 0.0002          | 0.9989    | 0.9984 | 0.9987 | 1.0000   |
+| 0.0021        | 20.0  | 19340 | 0.0001          | 0.9989    | 0.9984 | 0.9987 | 1.0000   |
+
+
+### Framework versions
+
+- Transformers 4.37.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.17.1
+- Tokenizers 0.15.2

runs/Feb22_18-15-29_5a52949e98cc/events.out.tfevents.1708625729.5a52949e98cc.627.0

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