Update README.md

README.md

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 ---
 license: mit
-tags:
-- generated_from_trainer
-metrics:
-- accuracy
-model-index:
-- name: tiny-classification
-  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-classification
-
-This model is a fine-tuned version of [prajjwal1/bert-tiny](https://huggingface.co/prajjwal1/bert-tiny) on an unknown dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.2083
-- Accuracy: 0.9365
-
-## 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: 64
-- eval_batch_size: 128
-- seed: 42
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: linear
-- num_epochs: 2
-
-### Training results
-
-| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
-|:-------------:|:-----:|:-----:|:---------------:|:--------:|
-| 0.2304        | 1.0   | 45257 | 0.2162          | 0.9343   |
-| 0.2181        | 2.0   | 90514 | 0.2083          | 0.9365   |
-
-
-### Framework versions
-
-- Transformers 4.26.0
-- Pytorch 1.13.1+cu117
-- Datasets 2.9.0
-- Tokenizers 0.13.2