Training complete

README.md

@@ -1,6 +1,6 @@
 ---
 license: mit
-base_model: microsoft/deberta-base
+base_model: ML-GOD/deberta-finetuned-ner-microsoft-disaster
 tags:
 - generated_from_trainer
 metrics:
@@ -16,17 +16,16 @@ model-index:
 <!-- 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. -->
 
-[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/akku/huggingface/runs/bxwrwawl)
-[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/akku/huggingface/runs/bxwrwawl)
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/akku/huggingface/runs/qc6ajeko)
 # deberta-finetuned-ner-microsoft-disaster
 
-This model is a fine-tuned version of [microsoft/deberta-base](https://huggingface.co/microsoft/deberta-base) on the None dataset.
+This model is a fine-tuned version of [ML-GOD/deberta-finetuned-ner-microsoft-disaster](https://huggingface.co/ML-GOD/deberta-finetuned-ner-microsoft-disaster) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1013
-- Precision: 0.9216
-- Recall: 0.9314
-- F1: 0.9265
-- Accuracy: 0.9805
+- Loss: 0.1757
+- Precision: 0.9219
+- Recall: 0.9294
+- F1: 0.9257
+- Accuracy: 0.9797
 
 ## Model description
 
@@ -51,19 +50,22 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 7
+- num_epochs: 10
 
 ### Training results
 
 | Training Loss | Epoch | Step  | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.0872        | 1.0   | 1799  | 0.0762          | 0.9101    | 0.9245 | 0.9172 | 0.9796   |
-| 0.0658        | 2.0   | 3598  | 0.0741          | 0.9244    | 0.9288 | 0.9266 | 0.9811   |
-| 0.0517        | 3.0   | 5397  | 0.0737          | 0.9282    | 0.9291 | 0.9287 | 0.9808   |
-| 0.0383        | 4.0   | 7196  | 0.0834          | 0.9263    | 0.9275 | 0.9269 | 0.9807   |
-| 0.0298        | 5.0   | 8995  | 0.0895          | 0.9220    | 0.9299 | 0.9259 | 0.9802   |
-| 0.0237        | 6.0   | 10794 | 0.0963          | 0.9203    | 0.9322 | 0.9262 | 0.9806   |
-| 0.0182        | 7.0   | 12593 | 0.1013          | 0.9216    | 0.9314 | 0.9265 | 0.9805   |
+| 0.024         | 1.0   | 1799  | 0.1107          | 0.9149    | 0.9263 | 0.9206 | 0.9790   |
+| 0.0201        | 2.0   | 3598  | 0.1197          | 0.9154    | 0.9225 | 0.9190 | 0.9782   |
+| 0.014         | 3.0   | 5397  | 0.1249          | 0.9190    | 0.9279 | 0.9235 | 0.9794   |
+| 0.0089        | 4.0   | 7196  | 0.1327          | 0.9151    | 0.9221 | 0.9186 | 0.9781   |
+| 0.0057        | 5.0   | 8995  | 0.1432          | 0.9117    | 0.9268 | 0.9192 | 0.9789   |
+| 0.0049        | 6.0   | 10794 | 0.1610          | 0.9164    | 0.9240 | 0.9202 | 0.9781   |
+| 0.0031        | 7.0   | 12593 | 0.1740          | 0.9197    | 0.9273 | 0.9235 | 0.9791   |
+| 0.0028        | 8.0   | 14392 | 0.1701          | 0.9222    | 0.9288 | 0.9255 | 0.9797   |
+| 0.0022        | 9.0   | 16191 | 0.1750          | 0.9247    | 0.9290 | 0.9268 | 0.9799   |
+| 0.0009        | 10.0  | 17990 | 0.1757          | 0.9219    | 0.9294 | 0.9257 | 0.9797   |
 
 
 ### Framework versions

runs/Jul24_21-52-04_5c12287c7f97/events.out.tfevents.1721857931.5c12287c7f97.34.0

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