Model save

README.md

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+---
+base_model: Hartunka/tiny_bert_rand_100_v1
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: tiny_bert_rand_100_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_rand_100_v1_qnli
+
+This model is a fine-tuned version of [Hartunka/tiny_bert_rand_100_v1](https://huggingface.co/Hartunka/tiny_bert_rand_100_v1) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9131
+- Accuracy: 0.6070
+
+## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 50
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.6657        | 1.0   | 410  | 0.6503          | 0.6193   |
+| 0.6367        | 2.0   | 820  | 0.6539          | 0.6213   |
+| 0.5927        | 3.0   | 1230 | 0.6680          | 0.6129   |
+| 0.531         | 4.0   | 1640 | 0.7184          | 0.6116   |
+| 0.4631        | 5.0   | 2050 | 0.8040          | 0.6059   |
+| 0.3972        | 6.0   | 2460 | 0.9131          | 0.6070   |
+
+
+### Framework versions
+
+- Transformers 4.40.0
+- Pytorch 2.6.0+cu124
+- Datasets 3.5.0
+- Tokenizers 0.19.1

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