LeoTungAnh
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Training completed!
Browse files- README.md +22 -22
- model.safetensors +1 -1
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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- name: F1
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type: f1
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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 [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) 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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- F1: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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| No log | 1.0 | 63 | 0.
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| No log | 2.0 | 126 | 0.
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| No log | 3.0 | 189 | 0.
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### Framework versions
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- Transformers 4.
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- Pytorch 2.1.0+cu121
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- Datasets 2.14.6
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- Tokenizers 0.
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.936
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- name: F1
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type: f1
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value: 0.9361019232595149
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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 [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the emotion dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1538
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- Accuracy: 0.936
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- F1: 0.9361
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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| No log | 1.0 | 63 | 0.8113 | 0.745 | 0.6916 |
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| No log | 2.0 | 126 | 0.2909 | 0.911 | 0.9107 |
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| No log | 3.0 | 189 | 0.2003 | 0.928 | 0.9277 |
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| 0.5629 | 4.0 | 252 | 0.1698 | 0.938 | 0.9376 |
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| 0.5629 | 5.0 | 315 | 0.1561 | 0.9365 | 0.9364 |
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| 0.5629 | 6.0 | 378 | 0.1531 | 0.933 | 0.9334 |
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| 0.5629 | 7.0 | 441 | 0.1584 | 0.9355 | 0.9345 |
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| 0.1065 | 8.0 | 504 | 0.1493 | 0.9325 | 0.9321 |
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| 0.1065 | 9.0 | 567 | 0.1504 | 0.936 | 0.9364 |
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| 0.1065 | 10.0 | 630 | 0.1481 | 0.9395 | 0.9395 |
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| 0.1065 | 11.0 | 693 | 0.1501 | 0.935 | 0.9353 |
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| 0.0684 | 12.0 | 756 | 0.1504 | 0.936 | 0.9360 |
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| 0.0684 | 13.0 | 819 | 0.1526 | 0.935 | 0.9352 |
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| 0.0684 | 14.0 | 882 | 0.1526 | 0.9355 | 0.9357 |
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| 0.0684 | 15.0 | 945 | 0.1538 | 0.936 | 0.9361 |
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### Framework versions
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- Transformers 4.37.2
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- Pytorch 2.1.0+cu121
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- Datasets 2.14.6
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- Tokenizers 0.15.2
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model.safetensors
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