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update model card README.md
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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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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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