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update model card README.md
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README.md
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.
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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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This model is a fine-tuned version of [j-hartmann/emotion-english-distilroberta-base](https://huggingface.co/j-hartmann/emotion-english-distilroberta-base) on the emotion dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Accuracy: 0.
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## Model description
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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:
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### Training results
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| Training Loss | Epoch | Step
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### Framework versions
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.9477777777777778
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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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This model is a fine-tuned version of [j-hartmann/emotion-english-distilroberta-base](https://huggingface.co/j-hartmann/emotion-english-distilroberta-base) on the emotion dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3199
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- Accuracy: 0.9478
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## Model description
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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: 8
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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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| 0.3763 | 1.0 | 1875 | 0.1789 | 0.9411 |
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| 0.2179 | 2.0 | 3750 | 0.2558 | 0.9356 |
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| 0.1789 | 3.0 | 5625 | 0.1786 | 0.9422 |
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| 0.1543 | 4.0 | 7500 | 0.2059 | 0.9511 |
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| 0.1181 | 5.0 | 9375 | 0.2070 | 0.9478 |
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| 0.0791 | 6.0 | 11250 | 0.2392 | 0.9433 |
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| 0.0497 | 7.0 | 13125 | 0.3182 | 0.9411 |
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| 0.0356 | 8.0 | 15000 | 0.3199 | 0.9478 |
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### Framework versions
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