End of training
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- pytorch_model.bin +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 [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the glue dataset.
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It achieves the following results on the evaluation set:
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- Loss:
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- Accuracy: 0.
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- F1: 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 | Validation Loss | Accuracy | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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| 0.
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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: 0.8382352941176471
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- name: F1
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type: f1
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value: 0.8885135135135136
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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 [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the glue dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.1675
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- Accuracy: 0.8382
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- F1: 0.8885
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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: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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| 0.3059 | 0.87 | 100 | 0.4943 | 0.8211 | 0.8809 |
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| 0.2577 | 1.74 | 200 | 0.4251 | 0.8554 | 0.8981 |
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| 0.1418 | 2.61 | 300 | 0.4819 | 0.8529 | 0.8936 |
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| 0.0821 | 3.48 | 400 | 0.7154 | 0.8505 | 0.8913 |
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| 0.0511 | 4.35 | 500 | 0.9418 | 0.8505 | 0.8950 |
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| 0.0362 | 5.22 | 600 | 0.9225 | 0.8333 | 0.8803 |
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| 0.0287 | 6.09 | 700 | 0.9822 | 0.8309 | 0.8816 |
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| 0.0088 | 6.96 | 800 | 1.0204 | 0.8358 | 0.8851 |
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| 0.0041 | 7.83 | 900 | 1.0580 | 0.8407 | 0.8873 |
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| 0.0013 | 8.7 | 1000 | 1.1243 | 0.8407 | 0.8896 |
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| 0.0027 | 9.57 | 1100 | 1.1675 | 0.8382 | 0.8885 |
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### Framework versions
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pytorch_model.bin
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