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update model card README.md
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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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- precision
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- recall
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- f1
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- accuracy
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model-index:
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- name: distilbert-base-uncased-date
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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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# distilbert-base-uncased-date
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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: 0.2773
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- Precision: 0.0
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- Recall: 0.0
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- F1: 0.0
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- Accuracy: 0.9259
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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: 11
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
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| No log | 1.0 | 1 | 0.5215 | 0.0 | 0.0 | 0.0 | 0.9259 |
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| No log | 2.0 | 2 | 0.4264 | 0.0 | 0.0 | 0.0 | 0.9259 |
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| No log | 3.0 | 3 | 0.3649 | 0.0 | 0.0 | 0.0 | 0.9259 |
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| No log | 4.0 | 4 | 0.3289 | 0.0 | 0.0 | 0.0 | 0.9259 |
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| No log | 5.0 | 5 | 0.3099 | 0.0 | 0.0 | 0.0 | 0.9259 |
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| No log | 6.0 | 6 | 0.2992 | 0.0 | 0.0 | 0.0 | 0.9259 |
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| No log | 7.0 | 7 | 0.2920 | 0.0 | 0.0 | 0.0 | 0.9259 |
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| No log | 8.0 | 8 | 0.2865 | 0.0 | 0.0 | 0.0 | 0.9259 |
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| No log | 9.0 | 9 | 0.2821 | 0.0 | 0.0 | 0.0 | 0.9259 |
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| No log | 10.0 | 10 | 0.2790 | 0.0 | 0.0 | 0.0 | 0.9259 |
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| No log | 11.0 | 11 | 0.2773 | 0.0 | 0.0 | 0.0 | 0.9259 |
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### Framework versions
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- Transformers 4.29.2
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- Pytorch 2.0.1+cu118
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- Datasets 2.12.0
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- Tokenizers 0.13.3
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