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README.md
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---
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license: apache-2.0
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base_model: google/mobilebert-uncased
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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: mobilebert-uncased-goodreads-bookgenres-Book_cls-10e
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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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# mobilebert-uncased-goodreads-bookgenres-Book_cls-10e
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This model is a fine-tuned version of [google/mobilebert-uncased](https://huggingface.co/google/mobilebert-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2658
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- F1: 0.5395
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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: 3e-05
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 42
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- gradient_accumulation_steps: 16
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- total_train_batch_size: 64
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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: 0.03
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- num_epochs: 10.0
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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 | 0.99 | 123 | 0.2938 | 0.3004 |
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| 0.2732 | 2.0 | 247 | 0.2774 | 0.4601 |
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| 0.2705 | 3.0 | 371 | 0.2660 | 0.4703 |
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| 0.2671 | 3.99 | 494 | 0.2679 | 0.4754 |
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| 0.2529 | 5.0 | 618 | 0.2655 | 0.5163 |
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| 0.2395 | 6.0 | 742 | 0.2637 | 0.5213 |
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| 0.2469 | 6.99 | 865 | 0.2650 | 0.5235 |
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| 0.2301 | 8.0 | 989 | 0.2636 | 0.5251 |
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| 0.2273 | 9.0 | 1113 | 0.2648 | 0.5394 |
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| 0.2169 | 9.94 | 1230 | 0.2658 | 0.5395 |
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### Framework versions
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- Transformers 4.35.0.dev0
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- Pytorch 2.0.1+cpu
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- Datasets 2.14.5
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- Tokenizers 0.14.0
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