End of training
Browse files- README.md +66 -0
- model.safetensors +1 -1
README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: albert/albert-base-v2
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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: albert-category-classification-rob-dset
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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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# albert-category-classification-rob-dset
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This model is a fine-tuned version of [albert/albert-base-v2](https://huggingface.co/albert/albert-base-v2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.4822
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- Accuracy: 0.57
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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: 10
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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 | 1.0 | 438 | 1.3876 | 0.4887 |
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| 1.546 | 2.0 | 876 | 1.2214 | 0.5553 |
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| 1.0718 | 3.0 | 1314 | 1.1897 | 0.5857 |
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| 0.8159 | 4.0 | 1752 | 1.2674 | 0.5743 |
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| 0.5788 | 5.0 | 2190 | 1.3638 | 0.577 |
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| 0.3555 | 6.0 | 2628 | 1.4822 | 0.57 |
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### Framework versions
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- Transformers 4.44.2
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- Pytorch 2.5.0+cu121
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- Datasets 3.1.0
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- Tokenizers 0.19.1
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 46762368
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version https://git-lfs.github.com/spec/v1
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size 46762368
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