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Training completed!

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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: bert-base-cased
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - f1
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+ model-index:
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+ - name: bert-base-cased-news-16batch_10epoch_2e5lr_01wd
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # bert-base-cased-news-16batch_10epoch_2e5lr_01wd
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+
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+ This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.4558
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+ - F1: 0.9211
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 2e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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+ - seed: 47
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 10
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | F1 |
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+ |:-------------:|:-----:|:-----:|:---------------:|:------:|
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+ | 0.0626 | 1.0 | 3124 | 0.2043 | 0.9160 |
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+ | 0.0337 | 2.0 | 6248 | 0.2799 | 0.9154 |
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+ | 0.0243 | 3.0 | 9372 | 0.2959 | 0.9144 |
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+ | 0.0077 | 4.0 | 12496 | 0.3115 | 0.9195 |
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+ | 0.0085 | 5.0 | 15620 | 0.3588 | 0.9172 |
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+ | 0.0073 | 6.0 | 18744 | 0.3413 | 0.9175 |
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+ | 0.0028 | 7.0 | 21868 | 0.3517 | 0.9217 |
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+ | 0.001 | 8.0 | 24992 | 0.4161 | 0.9238 |
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+ | 0.0011 | 9.0 | 28116 | 0.4539 | 0.9230 |
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+ | 0.0 | 10.0 | 31240 | 0.4558 | 0.9211 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.35.1
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+ - Pytorch 2.1.0+cu121
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+ - Datasets 2.14.6
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+ - Tokenizers 0.14.1
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