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--- |
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license: mit |
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base_model: roberta-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: roberta-base-goodreads-bookgenres-Description_cls-6e |
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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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# roberta-base-goodreads-bookgenres-Description_cls-6e |
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This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2130 |
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- F1: 0.6717 |
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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: 4e-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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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 128 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-10 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.04 |
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- num_epochs: 6.0 |
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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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| 0.3118 | 1.0 | 62 | 0.2885 | 0.3362 | |
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| 0.2676 | 2.0 | 124 | 0.2511 | 0.4882 | |
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| 0.2325 | 3.0 | 186 | 0.2272 | 0.6093 | |
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| 0.2127 | 4.0 | 248 | 0.2181 | 0.6591 | |
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| 0.1978 | 5.0 | 310 | 0.2140 | 0.6686 | |
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| 0.1817 | 6.0 | 372 | 0.2130 | 0.6717 | |
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### Framework versions |
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- Transformers 4.33.3 |
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- Pytorch 2.2.0.dev20231001+cu121 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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