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valenaparicio16
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bioBERT-finetuned-financial-phrasebank

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valenaparicio16 commited on
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End of training

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Files changed (4) hide show
  1. README.md +7 -7
  2. model.safetensors +1 -1
  3. runs/Nov09_23-02-39_a29438b6ee78/events.out.tfevents.1699572342.a29438b6ee78.1470.0 +2 -2
  4. runs/Nov09_23-02-39_a29438b6ee78/events.out.tfevents.1699572543.a29438b6ee78.1470.1 +3 -0
README.md CHANGED
@@ -21,7 +21,7 @@ model-index:
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  metrics:
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  - name: F1
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  type: f1
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- value: 0.9025888951096297
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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
@@ -31,8 +31,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [dmis-lab/biobert-v1.1](https://huggingface.co/dmis-lab/biobert-v1.1) on the financial_phrasebank dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3733
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- - F1: 0.9026
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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- | No log | 1.0 | 238 | 0.2848 | 0.8875 |
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- | No log | 2.0 | 476 | 0.3041 | 0.9023 |
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- | 0.399 | 3.0 | 714 | 0.3733 | 0.9026 |
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  ### Framework versions
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- - Transformers 4.34.1
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  - Pytorch 2.1.0+cu118
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  - Datasets 2.14.6
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  - Tokenizers 0.14.1
 
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  metrics:
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  - name: F1
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  type: f1
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+ value: 0.9108746255012036
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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 [dmis-lab/biobert-v1.1](https://huggingface.co/dmis-lab/biobert-v1.1) on the financial_phrasebank dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2627
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+ - F1: 0.9109
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | No log | 1.0 | 238 | 0.2627 | 0.9109 |
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+ | No log | 2.0 | 476 | 0.3284 | 0.9100 |
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+ | 0.3492 | 3.0 | 714 | 0.4538 | 0.8923 |
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  ### Framework versions
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+ - Transformers 4.35.0
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  - Pytorch 2.1.0+cu118
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  - Datasets 2.14.6
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  - Tokenizers 0.14.1
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