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vincentdrenth
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ModernFinBERT

Text Classification
Transformers
Safetensors
modernbert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
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  1. README.md +14 -11
  2. model.safetensors +1 -1
README.md CHANGED
@@ -23,7 +23,7 @@ model-index:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.8546391752577319
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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
@@ -33,8 +33,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on the financial_phrasebank dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5429
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- - Accuracy: 0.8546
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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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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- - num_epochs: 3
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 1.0 | 243 | 0.4276 | 0.8289 |
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- | No log | 2.0 | 486 | 0.3834 | 0.8557 |
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- | 0.4132 | 3.0 | 729 | 0.5429 | 0.8546 |
 
 
 
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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: 0.8670103092783505
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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 [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on the financial_phrasebank dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6635
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+ - Accuracy: 0.8670
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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: 8e-05
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+ - train_batch_size: 32
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+ - eval_batch_size: 32
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  - seed: 42
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+ - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-06 and optimizer_args=No additional optimizer arguments
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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 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.5348 | 1.0 | 122 | 0.4122 | 0.8278 |
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+ | 0.2684 | 2.0 | 244 | 0.3491 | 0.8546 |
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+ | 0.1303 | 3.0 | 366 | 0.4818 | 0.8536 |
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+ | 0.0569 | 4.0 | 488 | 0.6635 | 0.8670 |
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+ | 0.0298 | 5.0 | 610 | 0.7434 | 0.8629 |
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+ | 0.0166 | 6.0 | 732 | 0.7884 | 0.8660 |
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  ### Framework versions
model.safetensors CHANGED
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