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BERT-Economics

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End of training

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  1. README.md +9 -9
  2. model.safetensors +1 -1
  3. runs/May14_07-23-36_a99a388f55b4/events.out.tfevents.1715671417.a99a388f55b4.6563.0 +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-politics
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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-politics
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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: 0.5651
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- - Recall: 0.6711
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- - F1: 0.6135
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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 | 0.1202 | 0.6051 | 0.3770 | 0.4646 |
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- | 0.0997 | 2.0 | 612 | 0.1257 | 0.5779 | 0.6569 | 0.6149 |
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- | 0.0997 | 3.0 | 918 | 0.1664 | 0.5651 | 0.6711 | 0.6135 |
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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-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: 0.1624
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+ - Precision: 0.5650
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+ - Recall: 0.6107
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+ - F1: 0.5870
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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 | 0.1260 | 0.5611 | 0.4458 | 0.4968 |
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+ | 0.0998 | 2.0 | 612 | 0.1254 | 0.5758 | 0.6013 | 0.5883 |
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+ | 0.0998 | 3.0 | 918 | 0.1624 | 0.5650 | 0.6107 | 0.5870 |
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  ### Framework versions
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