Model save

README.md

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+---
+library_name: transformers
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: bert_tiny_lda_100_v1
+  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. -->
+
+# bert_tiny_lda_100_v1
+
+This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 7.8520
+- Accuracy: 0.3593
+
+## 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: 0.0001
+- train_batch_size: 160
+- eval_batch_size: 160
+- seed: 10
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 10000
+- num_epochs: 25
+
+### Training results
+
+| Training Loss | Epoch   | Step  | Validation Loss | Accuracy |
+|:-------------:|:-------:|:-----:|:---------------:|:--------:|
+| 10.7151       | 6.9979  | 10000 | 10.6513         | 0.1546   |
+| 9.7707        | 13.9958 | 20000 | 9.6190          | 0.1946   |
+| 8.0878        | 20.9937 | 30000 | 7.8520          | 0.3593   |
+
+
+### Framework versions
+
+- Transformers 4.46.1
+- Pytorch 2.2.0+cu121
+- Datasets 3.1.0
+- Tokenizers 0.20.1

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