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--- |
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license: apache-2.0 |
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base_model: kennethge123/superglue_rte-bert-base-uncased |
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tags: |
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- generated_from_trainer |
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datasets: |
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- bigbench |
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metrics: |
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- accuracy |
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model-index: |
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- name: entailed_after_rte-bert-base-uncased |
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results: |
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- task: |
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name: Text Classification |
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type: text-classification |
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dataset: |
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name: bigbench |
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type: bigbench |
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config: entailed_polarity |
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split: validation |
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args: entailed_polarity |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.5714285714285714 |
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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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# entailed_after_rte-bert-base-uncased |
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This model is a fine-tuned version of [kennethge123/superglue_rte-bert-base-uncased](https://huggingface.co/kennethge123/superglue_rte-bert-base-uncased) on the bigbench dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7322 |
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- Accuracy: 0.5714 |
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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: 4 |
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- eval_batch_size: 32 |
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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: 20 |
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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 | 30 | 0.6876 | 0.5714 | |
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| No log | 2.0 | 60 | 0.8029 | 0.5714 | |
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| No log | 3.0 | 90 | 0.7246 | 0.5714 | |
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| No log | 4.0 | 120 | 0.7152 | 0.5714 | |
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| No log | 5.0 | 150 | 0.7887 | 0.5714 | |
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| No log | 6.0 | 180 | 0.7498 | 0.5714 | |
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| No log | 7.0 | 210 | 0.8149 | 0.4286 | |
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| No log | 8.0 | 240 | 0.7055 | 0.5714 | |
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| No log | 9.0 | 270 | 0.7209 | 0.5714 | |
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| No log | 10.0 | 300 | 0.6922 | 0.5714 | |
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| No log | 11.0 | 330 | 0.7186 | 0.5714 | |
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| No log | 12.0 | 360 | 0.6916 | 0.5714 | |
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| No log | 13.0 | 390 | 0.7233 | 0.5714 | |
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| No log | 14.0 | 420 | 0.7109 | 0.5714 | |
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| No log | 15.0 | 450 | 0.7051 | 0.5714 | |
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| No log | 16.0 | 480 | 0.6968 | 0.5714 | |
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| 0.7046 | 17.0 | 510 | 0.7068 | 0.5714 | |
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| 0.7046 | 18.0 | 540 | 0.7319 | 0.5714 | |
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| 0.7046 | 19.0 | 570 | 0.7301 | 0.5714 | |
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| 0.7046 | 20.0 | 600 | 0.7322 | 0.5714 | |
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### Framework versions |
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- Transformers 4.37.0 |
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- Pytorch 1.13.1+cu117 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.2 |
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