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Eva1209
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HW1

Text Classification
Transformers
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Safetensors
distilbert
Generated from Trainer
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End of training

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  2. model.safetensors +1 -1
README.md CHANGED
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.8133
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- - Matthews Correlation: 0.5198
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  ## Model description
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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: 16
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  - eval_batch_size: 16
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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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- | 0.5187 | 1.0 | 535 | 0.4568 | 0.4272 |
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- | 0.3471 | 2.0 | 1070 | 0.4726 | 0.5152 |
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- | 0.2317 | 3.0 | 1605 | 0.6819 | 0.5073 |
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- | 0.1733 | 4.0 | 2140 | 0.8133 | 0.5198 |
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- | 0.1278 | 5.0 | 2675 | 0.8755 | 0.4994 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.1607
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+ - Matthews Correlation: 0.5443
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 1.4175716836316547e-05
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+ - train_batch_size: 4
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  - eval_batch_size: 16
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+ - seed: 20
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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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+ | 0.5335 | 1.0 | 2138 | 0.5571 | 0.4299 |
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+ | 0.4842 | 2.0 | 4276 | 0.9165 | 0.4857 |
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+ | 0.3472 | 3.0 | 6414 | 1.0049 | 0.5239 |
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+ | 0.2567 | 4.0 | 8552 | 0.9978 | 0.5604 |
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+ | 0.1409 | 5.0 | 10690 | 1.1607 | 0.5443 |
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  ### Framework versions
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