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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_14-18-40_6d7974edcc8d/events.out.tfevents.1709302721.6d7974edcc8d.2921.0 +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: 0.7396149949341438
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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: 0.7506426735218509
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  - name: Accuracy
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  type: accuracy
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- value: 0.9288181120491175
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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: 0.3751
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- - Precision: 0.7396
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- - Recall: 0.7620
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- - F1: 0.7506
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- - Accuracy: 0.9288
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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 | 0.3631 | 0.6608 | 0.6221 | 0.6409 | 0.9048 |
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- | No log | 2.0 | 122 | 0.3148 | 0.7103 | 0.6707 | 0.6899 | 0.9146 |
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- | No log | 3.0 | 183 | 0.3269 | 0.7092 | 0.7651 | 0.7361 | 0.9239 |
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- | No log | 4.0 | 244 | 0.3190 | 0.7190 | 0.7677 | 0.7426 | 0.9259 |
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- | No log | 5.0 | 305 | 0.3660 | 0.7114 | 0.7270 | 0.7192 | 0.9236 |
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- | No log | 6.0 | 366 | 0.3683 | 0.7361 | 0.7542 | 0.7450 | 0.9273 |
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- | No log | 7.0 | 427 | 0.3724 | 0.7448 | 0.7599 | 0.7523 | 0.9289 |
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- | No log | 8.0 | 488 | 0.3751 | 0.7396 | 0.7620 | 0.7506 | 0.9288 |
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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: 0.5163636363636364
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  - name: Recall
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  type: recall
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+ value: 0.5687583444592791
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  - name: F1
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  type: f1
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+ value: 0.5412960609911055
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  - name: Accuracy
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  type: accuracy
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+ value: 0.804840021691974
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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: 1.0990
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+ - Precision: 0.5164
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+ - Recall: 0.5688
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+ - F1: 0.5413
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+ - Accuracy: 0.8048
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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 | 0.7095 | 0.4464 | 0.4962 | 0.4700 | 0.7783 |
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+ | No log | 2.0 | 210 | 0.7000 | 0.4560 | 0.5096 | 0.4813 | 0.7847 |
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+ | No log | 3.0 | 315 | 0.7885 | 0.4694 | 0.5327 | 0.4991 | 0.7904 |
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+ | No log | 4.0 | 420 | 0.9253 | 0.4872 | 0.5438 | 0.5140 | 0.7930 |
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+ | 0.4073 | 5.0 | 525 | 0.9443 | 0.5016 | 0.5652 | 0.5315 | 0.7998 |
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+ | 0.4073 | 6.0 | 630 | 1.0195 | 0.4996 | 0.5656 | 0.5306 | 0.7994 |
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+ | 0.4073 | 7.0 | 735 | 1.0827 | 0.4942 | 0.5705 | 0.5296 | 0.7969 |
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+ | 0.4073 | 8.0 | 840 | 1.0990 | 0.5164 | 0.5688 | 0.5413 | 0.8048 |
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  ### Framework versions
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