Model save

README.md

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+---
+license: apache-2.0
+base_model: distilbert/distilbert-base-uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: news-category-classifier-distilbert
+  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. -->
+
+# news-category-classifier-distilbert
+
+This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1519
+- Accuracy: 0.9513
+
+## 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: 0.0002
+- train_batch_size: 32
+- eval_batch_size: 128
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 2
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Accuracy | Validation Loss |
+|:-------------:|:-----:|:-----:|:--------:|:---------------:|
+| 0.4239        | 1.0   | 2289  | 0.9138   | 0.2604          |
+| 0.3058        | 2.0   | 4578  | 0.9240   | 0.2384          |
+| 0.3846        | 3.0   | 6867  | 0.9304   | 0.2280          |
+| 0.138         | 4.0   | 9156  | 0.9333   | 0.2280          |
+| 0.1904        | 5.0   | 11445 | 0.9468   | 0.1775          |
+| 0.193         | 6.0   | 13734 | 0.9468   | 0.1775          |
+| 0.0425        | 7.0   | 16023 | 0.9468   | 0.1775          |
+
+
+### Framework versions
+
+- Transformers 4.42.3
+- Pytorch 2.1.2
+- Datasets 2.20.0
+- Tokenizers 0.19.1

model.safetensors

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training_args.bin

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