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phobert-base-v2-finetuned-cola

Text Classification
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End of training

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  1. README.md +13 -8
  2. model.safetensors +1 -1
  3. runs/Feb16_06-26-51_e983d4d31426/events.out.tfevents.1708064815.e983d4d31426.193.1 +2 -2
  4. runs/Feb16_06-26-51_e983d4d31426/events.out.tfevents.1708065442.e983d4d31426.193.2 +3 -0
README.md CHANGED
@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [vinai/phobert-base-v2](https://huggingface.co/vinai/phobert-base-v2) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3437
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- - Matthews Correlation: 0.8384
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  ## Model description
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@@ -42,17 +42,22 @@ The following hyperparameters were used during training:
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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: 5
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
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  |:-------------:|:-----:|:----:|:---------------:|:--------------------:|
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- | No log | 1.0 | 54 | 0.3226 | 0.8031 |
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- | No log | 2.0 | 108 | 0.5304 | 0.7506 |
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- | No log | 3.0 | 162 | 0.3437 | 0.8384 |
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- | No log | 4.0 | 216 | 0.3766 | 0.8242 |
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- | No log | 5.0 | 270 | 0.3692 | 0.8283 |
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [vinai/phobert-base-v2](https://huggingface.co/vinai/phobert-base-v2) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2267
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+ - Matthews Correlation: 0.8593
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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 | Matthews Correlation |
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  |:-------------:|:-----:|:----:|:---------------:|:--------------------:|
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+ | No log | 1.0 | 45 | 0.3137 | 0.6724 |
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+ | No log | 2.0 | 90 | 0.2182 | 0.8019 |
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+ | No log | 3.0 | 135 | 0.2210 | 0.7962 |
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+ | No log | 4.0 | 180 | 0.1678 | 0.8521 |
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+ | No log | 5.0 | 225 | 0.1886 | 0.8420 |
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+ | No log | 6.0 | 270 | 0.1851 | 0.8560 |
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+ | No log | 7.0 | 315 | 0.2300 | 0.8356 |
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+ | No log | 8.0 | 360 | 0.2267 | 0.8593 |
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+ | No log | 9.0 | 405 | 0.2221 | 0.8583 |
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+ | No log | 10.0 | 450 | 0.2767 | 0.8153 |
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  ### Framework versions
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