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BERT-worldpolitics

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  1. README.md +9 -9
  2. model.safetensors +1 -1
  3. runs/May20_15-01-36_a735c1710bce/events.out.tfevents.1716217296.a735c1710bce.341.2 +2 -2
README.md CHANGED
@@ -8,21 +8,21 @@ metrics:
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  - recall
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  - f1
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  model-index:
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- - name: BERT-Economics
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  results: []
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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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  should probably proofread and complete it, then remove this comment. -->
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- # BERT-Economics
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  This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1702
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- - Precision: 0.5672
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- - Recall: 0.6287
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- - F1: 0.5963
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  ## Model description
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@@ -53,9 +53,9 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|
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- | No log | 1.0 | 306 | 0.1274 | 0.5091 | 0.6051 | 0.5530 |
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- | 0.0986 | 2.0 | 612 | 0.1452 | 0.5998 | 0.5523 | 0.5751 |
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- | 0.0986 | 3.0 | 918 | 0.1702 | 0.5672 | 0.6287 | 0.5963 |
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  ### Framework versions
 
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  - recall
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  - f1
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  model-index:
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+ - name: BERT-worldpolitics
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  results: []
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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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  should probably proofread and complete it, then remove this comment. -->
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+ # BERT-worldpolitics
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  This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1664
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+ - Precision: 0.6027
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+ - Recall: 0.5052
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+ - F1: 0.5497
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|
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+ | No log | 1.0 | 306 | 0.1251 | 0.5013 | 0.4374 | 0.4672 |
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+ | 0.0962 | 2.0 | 612 | 0.1389 | 0.5682 | 0.5166 | 0.5412 |
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+ | 0.0962 | 3.0 | 918 | 0.1664 | 0.6027 | 0.5052 | 0.5497 |
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  ### Framework versions
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