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santis2
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phrasebank-sentiment-analysis

Text Classification
Transformers
PyTorch
bert
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Community
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End of training

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Files changed (3) hide show
  1. README.md +9 -9
  2. pytorch_model.bin +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -23,10 +23,10 @@ model-index:
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  metrics:
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  - name: F1
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  type: f1
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- value: 0.8199689183645938
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  - name: Accuracy
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  type: accuracy
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- value: 0.8370013755158184
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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
@@ -36,9 +36,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the financial_phrasebank dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6190
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- - F1: 0.8200
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- - Accuracy: 0.8370
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|
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- | 0.6472 | 0.94 | 100 | 0.5388 | 0.7457 | 0.7558 |
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- | 0.2832 | 1.89 | 200 | 0.4992 | 0.8072 | 0.8177 |
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- | 0.1671 | 2.83 | 300 | 0.5158 | 0.8190 | 0.8377 |
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- | 0.0834 | 3.77 | 400 | 0.6190 | 0.8200 | 0.8370 |
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  ### Framework versions
 
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  metrics:
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  - name: F1
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  type: f1
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+ value: 0.8369540630005199
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  - name: Accuracy
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  type: accuracy
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+ value: 0.8514442916093535
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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 [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the financial_phrasebank dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5738
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+ - F1: 0.8370
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+ - Accuracy: 0.8514
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|
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+ | 0.6737 | 0.94 | 100 | 0.4361 | 0.7936 | 0.8287 |
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+ | 0.3148 | 1.89 | 200 | 0.3941 | 0.8269 | 0.8494 |
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+ | 0.1572 | 2.83 | 300 | 0.5384 | 0.8289 | 0.8494 |
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+ | 0.0615 | 3.77 | 400 | 0.5738 | 0.8370 | 0.8514 |
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  ### Framework versions
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