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RavingRabbit
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eformConsult

Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Model card Files
xet
 Metrics Community
RavingRabbit commited on
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End of training

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  1. README.md +9 -9
  2. model.safetensors +1 -1
README.md CHANGED
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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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: 0.7209
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- - Matthews Correlation: 0.5461
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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 Loss | Epoch | Step | Validation Loss | Matthews Correlation |
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  |:-------------:|:-----:|:----:|:---------------:|:--------------------:|
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- | 0.529 | 1.0 | 535 | 0.4688 | 0.4306 |
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- | 0.36 | 2.0 | 1070 | 0.4656 | 0.5343 |
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- | 0.2495 | 3.0 | 1605 | 0.6466 | 0.5076 |
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- | 0.1818 | 4.0 | 2140 | 0.7209 | 0.5461 |
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- | 0.1304 | 5.0 | 2675 | 0.8472 | 0.5256 |
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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: 0.7844
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+ - Matthews Correlation: 0.5466
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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: 1.6657021403235714e-05
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  - train_batch_size: 16
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  - eval_batch_size: 16
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+ - seed: 10
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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 Loss | Epoch | Step | Validation Loss | Matthews Correlation |
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  |:-------------:|:-----:|:----:|:---------------:|:--------------------:|
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+ | 0.5213 | 1.0 | 535 | 0.4858 | 0.4326 |
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+ | 0.3536 | 2.0 | 1070 | 0.4809 | 0.5083 |
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+ | 0.2508 | 3.0 | 1605 | 0.5551 | 0.5268 |
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+ | 0.183 | 4.0 | 2140 | 0.7043 | 0.5280 |
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+ | 0.154 | 5.0 | 2675 | 0.7844 | 0.5466 |
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  ### Framework versions
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