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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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datasets: |
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- crows_pairs |
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metrics: |
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- accuracy |
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model-index: |
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- name: t5-small_crows_pairs_finetuned_HBRPOI |
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results: |
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- task: |
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name: Sequence-to-sequence Language Modeling |
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type: text2text-generation |
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dataset: |
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name: crows_pairs |
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type: crows_pairs |
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config: crows_pairs |
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split: test |
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args: crows_pairs |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.6490066225165563 |
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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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# t5-small_crows_pairs_finetuned_HBRPOI |
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the crows_pairs dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3485 |
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- Accuracy: 0.6490 |
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- Tp: 0.4934 |
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- Tn: 0.1556 |
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- Fp: 0.3411 |
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- Fn: 0.0099 |
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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: 0.0005 |
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- train_batch_size: 64 |
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- eval_batch_size: 64 |
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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 | Accuracy | Tp | Tn | Fp | Fn | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|:------:|:------:| |
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| 0.4336 | 1.05 | 20 | 0.3559 | 0.5033 | 0.5033 | 0.0 | 0.4967 | 0.0 | |
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| 0.3726 | 2.11 | 40 | 0.3608 | 0.5033 | 0.5033 | 0.0 | 0.4967 | 0.0 | |
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| 0.317 | 3.16 | 60 | 0.3112 | 0.5099 | 0.5033 | 0.0066 | 0.4901 | 0.0 | |
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| 0.259 | 4.21 | 80 | 0.2822 | 0.5662 | 0.5 | 0.0662 | 0.4305 | 0.0033 | |
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| 0.2439 | 5.26 | 100 | 0.3249 | 0.7119 | 0.4934 | 0.2185 | 0.2781 | 0.0099 | |
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| 0.1824 | 6.32 | 120 | 0.3082 | 0.6093 | 0.4934 | 0.1159 | 0.3808 | 0.0099 | |
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| 0.1549 | 7.37 | 140 | 0.3217 | 0.5960 | 0.4967 | 0.0993 | 0.3974 | 0.0066 | |
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| 0.1312 | 8.42 | 160 | 0.3365 | 0.6325 | 0.4934 | 0.1391 | 0.3576 | 0.0099 | |
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| 0.1158 | 9.47 | 180 | 0.3485 | 0.6490 | 0.4934 | 0.1556 | 0.3411 | 0.0099 | |
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### Framework versions |
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- Transformers 4.26.1 |
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- Pytorch 1.13.1 |
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- Datasets 2.10.1 |
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- Tokenizers 0.13.2 |
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