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README.md
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: my_segment_news_1
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results: []
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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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# my_segment_news_1
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.3054
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- Accuracy: 0.7046
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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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: 42
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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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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 | 47 | 0.8568 | 0.6555 |
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| No log | 2.0 | 94 | 0.7703 | 0.7128 |
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| No log | 3.0 | 141 | 0.9174 | 0.7115 |
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| No log | 4.0 | 188 | 0.9764 | 0.7268 |
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| No log | 5.0 | 235 | 1.1855 | 0.6945 |
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| No log | 6.0 | 282 | 1.1718 | 0.7071 |
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| No log | 7.0 | 329 | 1.1631 | 0.7246 |
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| No log | 8.0 | 376 | 1.2950 | 0.7029 |
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| No log | 9.0 | 423 | 1.3254 | 0.7019 |
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| No log | 10.0 | 470 | 1.3054 | 0.7046 |
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### Framework versions
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- Transformers 4.30.2
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- Pytorch 2.0.1+cu118
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- Datasets 2.13.1
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- Tokenizers 0.13.3
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