End of training

README.md

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+---
+license: apache-2.0
+base_model: bert-large-cased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: FakeNews-bert-large-cased-stable
+  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. -->
+
+# FakeNews-bert-large-cased-stable
+
+This model is a fine-tuned version of [bert-large-cased](https://huggingface.co/bert-large-cased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1020
+- Accuracy: 0.9827
+
+## 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: 3e-05
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-06
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.3549        | 1.0   | 802  | 0.3255          | 0.9453   |
+| 0.1063        | 2.0   | 1605 | 0.1305          | 0.9771   |
+| 0.0412        | 3.0   | 2407 | 0.1020          | 0.9827   |
+| 0.0096        | 4.0   | 3210 | 0.1242          | 0.9822   |
+| 0.0001        | 5.0   | 4010 | 0.1315          | 0.9827   |
+
+
+### Framework versions
+
+- Transformers 4.35.0
+- Pytorch 2.1.0+cu118
+- Datasets 2.14.6
+- Tokenizers 0.14.1

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