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urgency_classifier

Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
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xet
Community
mr-kush commited on
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Auto-deploy: ΔF1 >= 0.0010 (v20251030_150633)

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  1. README.md +10 -9
  2. model.safetensors +1 -1
README.md CHANGED
@@ -18,13 +18,13 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0242
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  - Accuracy: 0.9187
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- - F1 Macro: 0.9210
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- - F1 Weighted: 0.9190
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- - Precision Macro: 0.9240
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- - Recall Macro: 0.9190
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- - Precision Weighted: 0.9203
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  - Recall Weighted: 0.9187
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  ## Model description
@@ -57,9 +57,10 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro | F1 Weighted | Precision Macro | Recall Macro | Precision Weighted | Recall Weighted |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:-----------:|:---------------:|:------------:|:------------------:|:---------------:|
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- | 0.0976 | 0.625 | 50 | 0.0433 | 0.7812 | 0.7776 | 0.7678 | 0.7922 | 0.8038 | 0.7983 | 0.7812 |
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- | 0.0292 | 1.25 | 100 | 0.0168 | 0.9187 | 0.9206 | 0.9184 | 0.9191 | 0.9231 | 0.9190 | 0.9187 |
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- | 0.0232 | 1.875 | 150 | 0.0242 | 0.9187 | 0.9210 | 0.9190 | 0.9240 | 0.9190 | 0.9203 | 0.9187 |
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0258
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  - Accuracy: 0.9187
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+ - F1 Macro: 0.9201
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+ - F1 Weighted: 0.9185
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+ - Precision Macro: 0.9203
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+ - Recall Macro: 0.9221
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+ - Precision Weighted: 0.9204
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  - Recall Weighted: 0.9187
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  ## Model description
 
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro | F1 Weighted | Precision Macro | Recall Macro | Precision Weighted | Recall Weighted |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:-----------:|:---------------:|:------------:|:------------------:|:---------------:|
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+ | 0.0969 | 0.625 | 50 | 0.0419 | 0.7625 | 0.7566 | 0.7447 | 0.7724 | 0.7877 | 0.7773 | 0.7625 |
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+ | 0.031 | 1.25 | 100 | 0.0272 | 0.8688 | 0.8704 | 0.8658 | 0.8697 | 0.8804 | 0.8725 | 0.8688 |
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+ | 0.0202 | 1.875 | 150 | 0.0232 | 0.9 | 0.9022 | 0.8993 | 0.9015 | 0.9060 | 0.9015 | 0.9 |
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+ | 0.0132 | 2.5 | 200 | 0.0258 | 0.9187 | 0.9201 | 0.9185 | 0.9203 | 0.9221 | 0.9204 | 0.9187 |
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  ### Framework versions
model.safetensors CHANGED
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