End of training
Browse files- README.md +79 -0
- pytorch_model.bin +1 -1
README.md
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---
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license: apache-2.0
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base_model: bert-base-uncased
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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: Raffel_bert_emotion_classification
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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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# Raffel_bert_emotion_classification
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3423
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- Accuracy: 0.9596
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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: 4e-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: 20
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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 | 167 | 0.1212 | 0.9579 |
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| No log | 2.0 | 334 | 0.1362 | 0.9596 |
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| 0.1622 | 3.0 | 501 | 0.2034 | 0.9596 |
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| 0.1622 | 4.0 | 668 | 0.2035 | 0.9630 |
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| 0.1622 | 5.0 | 835 | 0.2153 | 0.9630 |
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| 0.017 | 6.0 | 1002 | 0.2010 | 0.9613 |
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| 0.017 | 7.0 | 1169 | 0.2718 | 0.9579 |
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| 0.017 | 8.0 | 1336 | 0.2641 | 0.9613 |
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| 0.0099 | 9.0 | 1503 | 0.2524 | 0.9613 |
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| 0.0099 | 10.0 | 1670 | 0.2918 | 0.9579 |
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| 0.0099 | 11.0 | 1837 | 0.2749 | 0.9562 |
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| 0.0029 | 12.0 | 2004 | 0.3133 | 0.9562 |
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| 0.0029 | 13.0 | 2171 | 0.2952 | 0.9579 |
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| 0.0029 | 14.0 | 2338 | 0.3334 | 0.9596 |
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| 0.0022 | 15.0 | 2505 | 0.3286 | 0.9596 |
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| 0.0022 | 16.0 | 2672 | 0.3340 | 0.9596 |
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| 0.0022 | 17.0 | 2839 | 0.3344 | 0.9596 |
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| 0.0013 | 18.0 | 3006 | 0.3395 | 0.9596 |
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| 0.0013 | 19.0 | 3173 | 0.3423 | 0.9596 |
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| 0.0013 | 20.0 | 3340 | 0.3423 | 0.9596 |
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### Framework versions
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- Transformers 4.34.1
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- Pytorch 2.1.0+cu118
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- Datasets 2.14.6
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- Tokenizers 0.14.1
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 438007022
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version https://git-lfs.github.com/spec/v1
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oid sha256:c6336a26a506878a3724d9c5e263bb726557940ee97d1d9e6ce25f1f35b528e7
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size 438007022
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