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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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base_model: distilbert/distilbert-base-cased
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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: my_distilbert
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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_distilbert
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This model is a fine-tuned version of [distilbert/distilbert-base-cased](https://huggingface.co/distilbert/distilbert-base-cased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1515
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- Precision: 0.8038
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- Recall: 0.8108
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- F1: 0.8073
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- Accuracy: 0.9574
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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: 30
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- eval_batch_size: 30
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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: 5
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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 | 400 | 0.1692 | 0.7741 | 0.7904 | 0.7822 | 0.9516 |
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| 0.2767 | 2.0 | 800 | 0.1524 | 0.7875 | 0.8010 | 0.7942 | 0.9547 |
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| 0.1341 | 3.0 | 1200 | 0.1505 | 0.8068 | 0.8050 | 0.8059 | 0.9567 |
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| 0.1072 | 4.0 | 1600 | 0.1498 | 0.7968 | 0.8121 | 0.8044 | 0.9568 |
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| 0.0884 | 5.0 | 2000 | 0.1515 | 0.8038 | 0.8108 | 0.8073 | 0.9574 |
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### Framework versions
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- Transformers 4.31.0
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- Pytorch 2.3.0+cu121
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- Datasets 2.20.0
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- Tokenizers 0.13.3
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