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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-base-uncased
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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: message-genre
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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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# message-genre
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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: 1.5875
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- Accuracy: 0.4339
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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: 5e-05
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- train_batch_size: 32
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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: 1.0
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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 | 0.06 | 100 | 1.8239 | 0.3638 |
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| No log | 0.13 | 200 | 1.7266 | 0.3971 |
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| No log | 0.19 | 300 | 1.6873 | 0.4040 |
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| No log | 0.25 | 400 | 1.6609 | 0.4188 |
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| 1.8118 | 0.32 | 500 | 1.6674 | 0.4048 |
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| 1.8118 | 0.38 | 600 | 1.6381 | 0.4172 |
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| 1.8118 | 0.45 | 700 | 1.6437 | 0.4156 |
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| 1.8118 | 0.51 | 800 | 1.6378 | 0.4143 |
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| 1.8118 | 0.57 | 900 | 1.6301 | 0.4214 |
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| 1.6738 | 0.64 | 1000 | 1.6106 | 0.4320 |
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| 1.6738 | 0.7 | 1100 | 1.6089 | 0.4259 |
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| 1.6738 | 0.76 | 1200 | 1.5988 | 0.4299 |
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| 1.6738 | 0.83 | 1300 | 1.5951 | 0.4347 |
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| 1.6738 | 0.89 | 1400 | 1.5896 | 0.4320 |
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| 1.6488 | 0.96 | 1500 | 1.5875 | 0.4339 |
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### Framework versions
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- Transformers 4.32.1
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- Pytorch 2.0.1
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- Datasets 2.14.4
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- Tokenizers 0.13.3
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