Model save

README.md

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+---
+library_name: transformers
+base_model: Hartunka/tiny_bert_km_10_v1
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: tiny_bert_km_10_v1_qnli
+  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. -->
+
+# tiny_bert_km_10_v1_qnli
+
+This model is a fine-tuned version of [Hartunka/tiny_bert_km_10_v1](https://huggingface.co/Hartunka/tiny_bert_km_10_v1) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.0746
+- Accuracy: 0.6114
+
+## 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: 5e-05
+- train_batch_size: 256
+- eval_batch_size: 256
+- seed: 10
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 50
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.6683        | 1.0   | 410  | 0.6487          | 0.6174   |
+| 0.6409        | 2.0   | 820  | 0.6488          | 0.6231   |
+| 0.6022        | 3.0   | 1230 | 0.6438          | 0.6326   |
+| 0.5417        | 4.0   | 1640 | 0.6986          | 0.6249   |
+| 0.4704        | 5.0   | 2050 | 0.7350          | 0.6235   |
+| 0.4013        | 6.0   | 2460 | 0.8579          | 0.6132   |
+| 0.3381        | 7.0   | 2870 | 1.0882          | 0.5991   |
+| 0.2839        | 8.0   | 3280 | 1.0746          | 0.6114   |
+
+
+### Framework versions
+
+- Transformers 4.50.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.21.1

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