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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: albert-qa-checkpoint |
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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-qa-checkpoint |
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This model is a fine-tuned version of [albert-base-v2](https://huggingface.co/albert-base-v2) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3667 |
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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 | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.3388 | 1.0 | 773 | 0.1976 | |
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| 0.1564 | 2.0 | 1546 | 0.2122 | |
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| 0.1269 | 3.0 | 2319 | 0.2261 | |
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| 0.1037 | 4.0 | 3092 | 0.1888 | |
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| 0.0797 | 5.0 | 3865 | 0.2339 | |
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| 0.064 | 6.0 | 4638 | 0.2969 | |
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| 0.0489 | 7.0 | 5411 | 0.3004 | |
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| 0.0386 | 8.0 | 6184 | 0.3253 | |
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| 0.0355 | 9.0 | 6957 | 0.3448 | |
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| 0.0247 | 10.0 | 7730 | 0.3667 | |
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### Framework versions |
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- Transformers 4.27.2 |
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- Pytorch 1.13.1+cu117 |
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- Datasets 2.11.0 |
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- Tokenizers 0.13.3 |
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