End of training

README.md

@@ -0,0 +1,95 @@
+---
+library_name: transformers
+license: mit
+base_model: dslim/bert-base-NER
+tags:
+- generated_from_trainer
+datasets:
+- wnut_17
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: bert-wnut17-final
+  results:
+  - task:
+      name: Token Classification
+      type: token-classification
+    dataset:
+      name: wnut_17
+      type: wnut_17
+      config: wnut_17
+      split: test
+      args: wnut_17
+    metrics:
+    - name: Precision
+      type: precision
+      value: 0.5603799185888738
+    - name: Recall
+      type: recall
+      value: 0.3827618164967563
+    - name: F1
+      type: f1
+      value: 0.45484581497797355
+    - name: Accuracy
+      type: accuracy
+      value: 0.9482345900658289
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# bert-wnut17-final
+
+This model is a fine-tuned version of [dslim/bert-base-NER](https://huggingface.co/dslim/bert-base-NER) on the wnut_17 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3245
+- Precision: 0.5604
+- Recall: 0.3828
+- F1: 0.4548
+- Accuracy: 0.9482
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 3.4590617775212224e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 4
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 1.0   | 213  | 0.2392          | 0.5203    | 0.4041 | 0.4549 | 0.9462   |
+| No log        | 2.0   | 426  | 0.2932          | 0.5818    | 0.3494 | 0.4366 | 0.9459   |
+| 0.1758        | 3.0   | 639  | 0.3100          | 0.5768    | 0.3828 | 0.4602 | 0.9478   |
+| 0.1758        | 4.0   | 852  | 0.3245          | 0.5604    | 0.3828 | 0.4548 | 0.9482   |
+
+
+### Framework versions
+
+- Transformers 4.47.1
+- Pytorch 2.5.1+cu121
+- Datasets 3.2.0
+- Tokenizers 0.21.0

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:29414aae38078d9dee2b36d738330d0c2b31369ce9d870c9a4ff9fe0994fa073
+oid sha256:81c7ca4caf7e73ebbb1fb74de0f27c42f0426be4dfff2b346d9f640ecc3baa31
 size 430942044

runs/Jan15_14-36-33_49cc5c9ac2cb/events.out.tfevents.1736951796.49cc5c9ac2cb.768.24

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:572a753d71d226550876435c7aaf4c54149b1c526f83cce31d8104c6435f8859
-size 7404
+oid sha256:d74f5911bdbbfbb1c55c6a0a8d6ee4362e1f12ab871e281e7e0dd84608a14b91
+size 8230