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--- |
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license: apache-2.0 |
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base_model: Palak/albert-base-v2_squad |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: albert_v2_lookup_spending_category |
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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_v2_lookup_spending_category |
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This model is a fine-tuned version of [Palak/albert-base-v2_squad](https://huggingface.co/Palak/albert-base-v2_squad) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0406 |
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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: 12 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| No log | 1.0 | 84 | 0.0321 | |
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| No log | 2.0 | 168 | 0.0358 | |
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| No log | 3.0 | 252 | 0.0372 | |
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| No log | 4.0 | 336 | 0.0381 | |
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| No log | 5.0 | 420 | 0.0388 | |
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| 0.0064 | 6.0 | 504 | 0.0393 | |
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| 0.0064 | 7.0 | 588 | 0.0398 | |
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| 0.0064 | 8.0 | 672 | 0.0401 | |
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| 0.0064 | 9.0 | 756 | 0.0403 | |
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| 0.0064 | 10.0 | 840 | 0.0405 | |
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| 0.0064 | 11.0 | 924 | 0.0406 | |
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| 0.0 | 12.0 | 1008 | 0.0406 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
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