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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: distilbert-base-uncased |
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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: old_bert_pytranscripts |
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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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# old_bert_pytranscripts |
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.8049 |
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- Accuracy: 0.4474 |
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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: 1e-05 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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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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- 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 | 76 | 2.2367 | 0.2105 | |
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| No log | 2.0 | 152 | 2.1704 | 0.1842 | |
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| No log | 3.0 | 228 | 2.0889 | 0.2632 | |
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| No log | 4.0 | 304 | 2.0155 | 0.3947 | |
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| No log | 5.0 | 380 | 1.9199 | 0.4211 | |
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| No log | 6.0 | 456 | 1.8875 | 0.4474 | |
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| 1.8928 | 7.0 | 532 | 1.8419 | 0.4737 | |
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| 1.8928 | 8.0 | 608 | 1.8211 | 0.4211 | |
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| 1.8928 | 9.0 | 684 | 1.8140 | 0.4474 | |
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| 1.8928 | 10.0 | 760 | 1.8049 | 0.4474 | |
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### Framework versions |
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- Transformers 4.47.1 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
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