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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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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: crowspairs_trainer_roberta-large_finetuned |
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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: 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: 0.4966887417218543 |
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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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# crowspairs_trainer_roberta-large_finetuned |
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This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on the crows_pairs dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6933 |
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- Accuracy: 0.4967 |
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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: 32 |
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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: 5 |
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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 | 0.53 | 20 | 0.6942 | 0.5033 | |
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| No log | 1.05 | 40 | 0.6943 | 0.4967 | |
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| No log | 1.58 | 60 | 0.7100 | 0.4967 | |
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| No log | 2.11 | 80 | 0.6937 | 0.4967 | |
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| No log | 2.63 | 100 | 0.6937 | 0.4967 | |
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| No log | 3.16 | 120 | 0.6936 | 0.4967 | |
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| No log | 3.68 | 140 | 0.6931 | 0.5033 | |
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| No log | 4.21 | 160 | 0.6938 | 0.4967 | |
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| No log | 4.74 | 180 | 0.6933 | 0.4967 | |
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### Framework versions |
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- Transformers 4.23.1 |
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- Pytorch 1.12.1 |
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- Datasets 2.6.1 |
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- Tokenizers 0.13.1 |
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