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README.md
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---
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library_name: transformers
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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: bert_base_lda_100_v1
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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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# bert_base_lda_100_v1
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This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 7.0173
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- Accuracy: 0.4201
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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: 0.0001
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- train_batch_size: 96
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- eval_batch_size: 96
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- seed: 10
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 10000
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- num_epochs: 25
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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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| 10.4589 | 4.1982 | 10000 | 10.2935 | 0.1510 |
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| 9.6043 | 8.3963 | 20000 | 9.6179 | 0.1525 |
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| 9.48 | 12.5945 | 30000 | 9.5449 | 0.1561 |
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| 8.9658 | 16.7926 | 40000 | 8.8322 | 0.2303 |
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| 7.2614 | 20.9908 | 50000 | 7.0173 | 0.4201 |
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### Framework versions
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- Transformers 4.46.1
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- Pytorch 2.2.0+cu121
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- Datasets 3.1.0
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- Tokenizers 0.20.1
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logs/events.out.tfevents.1732243948.ki-g0009.689944.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:1a52453a09b513f46f249883cf06f488c2fbbe9636a0d36b139a44b3b0e05d9e
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size 32254
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