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README.md
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---
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license: mit
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tags:
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- generated_from_trainer
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model-index:
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- name: vxnli-v1
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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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# vxnli-v1
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This model is a fine-tuned version of [microsoft/tapex-base-finetuned-wtq](https://huggingface.co/microsoft/tapex-base-finetuned-wtq) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2502
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- Exact Match: 0.5444
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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: 8
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- eval_batch_size: 8
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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: 50
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Exact Match |
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|:-------------:|:-----:|:----:|:---------------:|:-----------:|
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| 0.8075 | 1.0 | 158 | 0.2990 | 0.2741 |
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| 0.1626 | 2.0 | 316 | 0.2192 | 0.5259 |
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| 0.085 | 3.0 | 474 | 0.2346 | 0.5333 |
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| 0.0534 | 4.0 | 632 | 0.2233 | 0.5889 |
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| 0.0371 | 5.0 | 790 | 0.2197 | 0.5630 |
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| 0.0305 | 6.0 | 948 | 0.2448 | 0.5741 |
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| 0.0245 | 7.0 | 1106 | 0.2469 | 0.6111 |
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| 0.0177 | 8.0 | 1264 | 0.2547 | 0.5926 |
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| 0.0159 | 9.0 | 1422 | 0.2496 | 0.5815 |
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| 0.0153 | 10.0 | 1580 | 0.2939 | 0.5593 |
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| 0.0117 | 11.0 | 1738 | 0.2879 | 0.5667 |
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| 0.0096 | 12.0 | 1896 | 0.2581 | 0.5815 |
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### Framework versions
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- Transformers 4.25.1
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- Pytorch 1.13.0+cu117
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- Datasets 2.7.1
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- Tokenizers 0.13.2
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