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--- |
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library_name: transformers |
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base_model: gokulsrinivasagan/bert_tiny_lda_20_v1 |
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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_tiny_lda_20_v1_rte |
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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_tiny_lda_20_v1_rte |
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This model is a fine-tuned version of [gokulsrinivasagan/bert_tiny_lda_20_v1](https://huggingface.co/gokulsrinivasagan/bert_tiny_lda_20_v1) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8211 |
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- Accuracy: 0.5379 |
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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: 256 |
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- eval_batch_size: 256 |
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- seed: 10 |
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- optimizer: Use 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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- num_epochs: 50 |
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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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| 0.7103 | 1.0 | 10 | 0.7054 | 0.4693 | |
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| 0.6946 | 2.0 | 20 | 0.6921 | 0.5379 | |
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| 0.6878 | 3.0 | 30 | 0.6934 | 0.5090 | |
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| 0.6758 | 4.0 | 40 | 0.6934 | 0.5668 | |
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| 0.6609 | 5.0 | 50 | 0.7402 | 0.5343 | |
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| 0.6213 | 6.0 | 60 | 0.7342 | 0.5199 | |
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| 0.5385 | 7.0 | 70 | 0.8211 | 0.5379 | |
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### Framework versions |
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- Transformers 4.46.3 |
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- Pytorch 2.2.1+cu118 |
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- Datasets 2.17.0 |
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- Tokenizers 0.20.3 |
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