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ytonthat
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drbert-7gb-finedtuned-ner

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  1. README.md +19 -14
  2. model.safetensors +1 -1
  3. runs/Mar01_02-45-03_1cc23fee8ba3/events.out.tfevents.1709261108.1cc23fee8ba3.4565.3 +2 -2
README.md CHANGED
@@ -25,16 +25,16 @@ model-index:
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  metrics:
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  - name: Precision
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  type: precision
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- value: 0.7103274559193955
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  - name: Recall
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  type: recall
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- value: 0.7359081419624217
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  - name: F1
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  type: f1
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- value: 0.7228915662650602
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  - name: Accuracy
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  type: accuracy
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- value: 0.9223586595037094
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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: 0.3775
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- - Precision: 0.7103
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- - Recall: 0.7359
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- - F1: 0.7229
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- - Accuracy: 0.9224
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  ## Model description
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@@ -67,21 +67,26 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 2e-05
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  - train_batch_size: 8
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  - eval_batch_size: 8
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 3
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  ### Training results
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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 | 0.3947 | 0.7117 | 0.6905 | 0.7009 | 0.9198 |
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- | No log | 2.0 | 122 | 0.3738 | 0.7210 | 0.7244 | 0.7227 | 0.9224 |
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- | No log | 3.0 | 183 | 0.3775 | 0.7103 | 0.7359 | 0.7229 | 0.9224 |
 
 
 
 
 
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  ### Framework versions
 
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  metrics:
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  - name: Precision
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  type: precision
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+ value: 0.7244534824605999
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  - name: Recall
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  type: recall
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+ value: 0.7437369519832986
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  - name: F1
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  type: f1
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+ value: 0.7339685809940767
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  - name: Accuracy
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  type: accuracy
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+ value: 0.9228702993092862
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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: 0.4365
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+ - Precision: 0.7245
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+ - Recall: 0.7437
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+ - F1: 0.7340
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+ - Accuracy: 0.9229
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 5e-05
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  - train_batch_size: 8
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  - eval_batch_size: 8
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 8
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  ### Training results
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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 | 0.4138 | 0.7069 | 0.7035 | 0.7052 | 0.9185 |
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+ | No log | 2.0 | 122 | 0.3855 | 0.6853 | 0.7307 | 0.7072 | 0.9153 |
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+ | No log | 3.0 | 183 | 0.4027 | 0.6563 | 0.7526 | 0.7012 | 0.9141 |
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+ | No log | 4.0 | 244 | 0.4251 | 0.6692 | 0.7390 | 0.7024 | 0.9165 |
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+ | No log | 5.0 | 305 | 0.4165 | 0.7099 | 0.7432 | 0.7262 | 0.9211 |
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+ | No log | 6.0 | 366 | 0.4493 | 0.7339 | 0.7213 | 0.7276 | 0.9211 |
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+ | No log | 7.0 | 427 | 0.4324 | 0.7169 | 0.7443 | 0.7303 | 0.9228 |
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+ | No log | 8.0 | 488 | 0.4365 | 0.7245 | 0.7437 | 0.7340 | 0.9229 |
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  ### Framework versions
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