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README.md

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----
-license: apache-2.0
-tags:
-- generated_from_trainer
-metrics:
-- accuracy
-- f1
-model-index:
-- name: sms-spam-weighted
-  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. -->
-
-# sms-spam-weighted
-
-This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.4497
-- Accuracy: 0.965
-- F1: 0.8638
-
-## 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: 8
-- eval_batch_size: 8
-- seed: 42
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: linear
-- training_steps: 20
-
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.4681        | 0.16  | 20   | 0.4497          | 0.965    | 0.8638 |
-
-
-### Framework versions
-
-- Transformers 4.28.0
-- Pytorch 2.0.1+cu118
-- Datasets 2.12.0
-- Tokenizers 0.13.3