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---
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base_model: distilbert/distilbert-base-uncased
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tags:
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- generated_from_trainer
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model-index:
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- name: my_awesome_model
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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_awesome_model
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This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on the None dataset.
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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: 1
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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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| No log | 1.0 | 439 | 1.0755 | {'accuracy': 0.48088990302338847} | {'f1': 0.32203832473628746} |
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### Framework versions
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- Transformers 4.41.1
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- Pytorch 2.3.0+cu118
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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