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--- |
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license: apache-2.0 |
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base_model: distilbert/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: albert_model__25_1 |
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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_model__25_1 |
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This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4995 |
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- Accuracy: 0.7833 |
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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 | 355 | 0.5751 | 0.7424 | |
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| 0.6685 | 2.0 | 710 | 0.4995 | 0.7833 | |
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| 0.4105 | 3.0 | 1065 | 0.5366 | 0.7826 | |
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| 0.4105 | 4.0 | 1420 | 0.6784 | 0.7784 | |
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| 0.2443 | 5.0 | 1775 | 0.7940 | 0.7812 | |
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| 0.1393 | 6.0 | 2130 | 0.9600 | 0.7826 | |
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| 0.1393 | 7.0 | 2485 | 1.0671 | 0.7763 | |
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| 0.0921 | 8.0 | 2840 | 1.1389 | 0.7812 | |
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| 0.0456 | 9.0 | 3195 | 1.2180 | 0.7826 | |
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| 0.0297 | 10.0 | 3550 | 1.2229 | 0.7791 | |
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### Framework versions |
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- Transformers 4.40.0 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.0 |
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- Tokenizers 0.19.1 |
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