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README.md
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---
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license: apache-2.0
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base_model: distilroberta-base
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tags:
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- generated_from_trainer
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metrics:
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- f1
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model-index:
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- name: distilroberta-topic-classification_5
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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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# distilroberta-topic-classification_5
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This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.7686
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- F1: 0.6337
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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: 32
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- seed: 12345
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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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- lr_scheduler_warmup_steps: 16
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- num_epochs: 10
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- mixed_precision_training: Native AMP
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- label_smoothing_factor: 0.2
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | F1 |
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|:-------------:|:-----:|:-----:|:---------------:|:------:|
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| 2.6113 | 1.0 | 1305 | 2.6631 | 0.5832 |
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| 2.4032 | 2.0 | 2610 | 2.6335 | 0.5943 |
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| 2.3245 | 3.0 | 3915 | 2.6132 | 0.6196 |
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| 2.2142 | 4.0 | 5220 | 2.6438 | 0.6226 |
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| 2.0364 | 5.0 | 6525 | 2.6559 | 0.6323 |
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| 2.03 | 6.0 | 7830 | 2.7057 | 0.6282 |
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| 1.9461 | 7.0 | 9135 | 2.7222 | 0.6325 |
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| 1.8751 | 8.0 | 10440 | 2.7435 | 0.6302 |
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| 1.8463 | 9.0 | 11745 | 2.7668 | 0.6329 |
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| 1.9001 | 10.0 | 13050 | 2.7686 | 0.6337 |
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.1.0+cu121
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- Datasets 2.15.0
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- Tokenizers 0.15.0
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