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update model card README.md
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README.md
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---
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license: apache-2.0
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base_model: bhadresh-savani/electra-base-emotion
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: nosql-identifier-electra
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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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# nosql-identifier-electra
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This model is a fine-tuned version of [bhadresh-savani/electra-base-emotion](https://huggingface.co/bhadresh-savani/electra-base-emotion) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2416
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- Accuracy: 0.925
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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: 2e-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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- 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: 15
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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 | 40 | 0.5918 | 0.725 |
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| No log | 2.0 | 80 | 0.5009 | 0.85 |
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| No log | 3.0 | 120 | 0.3760 | 0.9 |
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| No log | 4.0 | 160 | 0.4031 | 0.8 |
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| No log | 5.0 | 200 | 0.3600 | 0.875 |
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| No log | 6.0 | 240 | 0.2552 | 0.925 |
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| No log | 7.0 | 280 | 0.2876 | 0.9 |
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| No log | 8.0 | 320 | 0.2684 | 0.9 |
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| No log | 9.0 | 360 | 0.2454 | 0.95 |
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| No log | 10.0 | 400 | 0.2540 | 0.925 |
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| No log | 11.0 | 440 | 0.2622 | 0.9 |
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| No log | 12.0 | 480 | 0.2397 | 0.95 |
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| 0.3893 | 13.0 | 520 | 0.2355 | 0.925 |
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| 0.3893 | 14.0 | 560 | 0.2432 | 0.925 |
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| 0.3893 | 15.0 | 600 | 0.2416 | 0.925 |
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### Framework versions
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- Transformers 4.31.0
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- Pytorch 2.0.1+cu118
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- Datasets 2.13.1
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- Tokenizers 0.11.0
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