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ytonthat
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drbert-7gb-finedtuned-ner

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  1. README.md +19 -19
  2. model.safetensors +1 -1
  3. runs/Mar01_14-30-27_6d7974edcc8d/events.out.tfevents.1709303428.6d7974edcc8d.6177.0 +2 -2
README.md CHANGED
@@ -19,22 +19,22 @@ model-index:
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  dataset:
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  name: quaero
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  type: quaero
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- config: emea
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  split: validation
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- args: emea
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  metrics:
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  - name: Precision
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  type: precision
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- value: 0.7314629258517034
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  - name: Recall
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  type: recall
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- value: 0.7620041753653445
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  - name: F1
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  type: f1
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- value: 0.7464212678936604
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  - name: Accuracy
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  type: accuracy
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- value: 0.9277308774622666
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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
@@ -44,11 +44,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [Dr-BERT/DrBERT-7GB](https://huggingface.co/Dr-BERT/DrBERT-7GB) on the quaero dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3781
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- - Precision: 0.7315
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- - Recall: 0.7620
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- - F1: 0.7464
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- - Accuracy: 0.9277
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  ## Model description
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@@ -79,14 +79,14 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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- | No log | 1.0 | 61 | 0.3429 | 0.6771 | 0.6347 | 0.6552 | 0.9103 |
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- | No log | 2.0 | 122 | 0.3117 | 0.7050 | 0.6759 | 0.6901 | 0.9169 |
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- | No log | 3.0 | 183 | 0.2950 | 0.7086 | 0.7641 | 0.7353 | 0.9255 |
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- | No log | 4.0 | 244 | 0.3256 | 0.6995 | 0.7521 | 0.7248 | 0.9261 |
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- | No log | 5.0 | 305 | 0.3562 | 0.7146 | 0.7370 | 0.7256 | 0.9249 |
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- | No log | 6.0 | 366 | 0.3490 | 0.7227 | 0.7578 | 0.7399 | 0.9273 |
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- | No log | 7.0 | 427 | 0.3694 | 0.7337 | 0.7521 | 0.7428 | 0.9277 |
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- | No log | 8.0 | 488 | 0.3781 | 0.7315 | 0.7620 | 0.7464 | 0.9277 |
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  ### Framework versions
 
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  dataset:
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  name: quaero
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  type: quaero
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+ config: medline
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  split: validation
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+ args: medline
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  metrics:
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  - name: Precision
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  type: precision
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+ value: 0.5151515151515151
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  - name: Recall
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  type: recall
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+ value: 0.5749888740542947
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  - name: F1
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  type: f1
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+ value: 0.5434279705573082
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  - name: Accuracy
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  type: accuracy
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+ value: 0.8052467462039046
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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 [Dr-BERT/DrBERT-7GB](https://huggingface.co/Dr-BERT/DrBERT-7GB) on the quaero dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.0979
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+ - Precision: 0.5152
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+ - Recall: 0.5750
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+ - F1: 0.5434
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+ - Accuracy: 0.8052
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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+ | No log | 1.0 | 105 | 0.7366 | 0.4295 | 0.4815 | 0.4540 | 0.7706 |
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+ | No log | 2.0 | 210 | 0.7073 | 0.4751 | 0.5256 | 0.4990 | 0.7844 |
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+ | No log | 3.0 | 315 | 0.7970 | 0.5277 | 0.5087 | 0.5180 | 0.7960 |
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+ | No log | 4.0 | 420 | 0.9072 | 0.4960 | 0.5287 | 0.5118 | 0.7926 |
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+ | 0.4094 | 5.0 | 525 | 0.9859 | 0.4765 | 0.5696 | 0.5190 | 0.7899 |
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+ | 0.4094 | 6.0 | 630 | 1.0399 | 0.5093 | 0.5750 | 0.5401 | 0.8039 |
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+ | 0.4094 | 7.0 | 735 | 1.0778 | 0.5245 | 0.5723 | 0.5474 | 0.8065 |
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+ | 0.4094 | 8.0 | 840 | 1.0979 | 0.5152 | 0.5750 | 0.5434 | 0.8052 |
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  ### Framework versions
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