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--- |
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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: entailedpolarity_-gpt2-a2b2l0.001 |
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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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# entailedpolarity_-gpt2-a2b2l0.001 |
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This model was trained from scratch on the bigbench dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 8.8419 |
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- Accuracy: 0.2083 |
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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: 1e-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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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 16 |
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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 | 6 | 8.8417 | 0.2083 | |
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| No log | 2.0 | 12 | 8.8339 | 0.2083 | |
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| No log | 3.0 | 18 | 7.9904 | 0.2917 | |
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| No log | 4.0 | 24 | 4.6119 | 0.75 | |
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| No log | 5.0 | 30 | 8.8414 | 0.2083 | |
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| No log | 6.0 | 36 | 8.8424 | 0.2083 | |
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| No log | 7.0 | 42 | 8.8427 | 0.2083 | |
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| No log | 8.0 | 48 | 8.8417 | 0.2083 | |
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| No log | 9.0 | 54 | 8.8450 | 0.2083 | |
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| No log | 10.0 | 60 | 8.8422 | 0.2083 | |
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| No log | 11.0 | 66 | 8.8429 | 0.2083 | |
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| No log | 12.0 | 72 | 8.8432 | 0.2083 | |
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| No log | 13.0 | 78 | 8.8430 | 0.2083 | |
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| No log | 14.0 | 84 | 8.8415 | 0.2083 | |
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| No log | 15.0 | 90 | 8.8431 | 0.2083 | |
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| No log | 16.0 | 96 | 8.8425 | 0.2083 | |
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| No log | 17.0 | 102 | 8.8431 | 0.2083 | |
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| No log | 18.0 | 108 | 8.8454 | 0.2083 | |
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| No log | 19.0 | 114 | 8.8430 | 0.2083 | |
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| No log | 20.0 | 120 | 8.8419 | 0.2083 | |
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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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