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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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- accuracy
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- f1
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model-index:
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- name: distilbert-base-uncased-finetuned-ft500_6class600
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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-finetuned-ft500_6class600
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.6317
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- Accuracy: 0.35
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- F1: 0.3327
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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: 64
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- eval_batch_size: 64
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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: 8
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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| 1.5717 | 1.0 | 188 | 1.5375 | 0.3067 | 0.2820 |
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| 1.4338 | 2.0 | 376 | 1.5354 | 0.3207 | 0.2824 |
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| 1.3516 | 3.0 | 564 | 1.4852 | 0.3573 | 0.3287 |
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| 1.2722 | 4.0 | 752 | 1.4997 | 0.366 | 0.3534 |
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| 1.1923 | 5.0 | 940 | 1.5474 | 0.362 | 0.3454 |
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| 1.1156 | 6.0 | 1128 | 1.5998 | 0.3547 | 0.3387 |
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| 1.0522 | 7.0 | 1316 | 1.6154 | 0.3473 | 0.3316 |
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| 1.0148 | 8.0 | 1504 | 1.6317 | 0.35 | 0.3327 |
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### Framework versions
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- Transformers 4.20.1
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- Pytorch 1.11.0+cu113
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- Datasets 2.3.2
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- Tokenizers 0.12.1
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