End of training

README.md

@@ -1,7 +1,7 @@
 ---
 library_name: transformers
 license: apache-2.0
-base_model: distilbert-base-uncased
+base_model: distilbert/distilbert-base-uncased
 tags:
 - generated_from_trainer
 datasets:
@@ -26,16 +26,16 @@ model-index:
     metrics:
     - name: Precision
       type: precision
-      value: 0.559040590405904
+      value: 0.5218476903870163
     - name: Recall
       type: recall
-      value: 0.2808155699721965
+      value: 0.3873957367933272
     - name: F1
       type: f1
-      value: 0.3738433066008636
+      value: 0.4446808510638298
     - name: Accuracy
       type: accuracy
-      value: 0.9409601983668933
+      value: 0.946346885554273
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -43,13 +43,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # distilbert_wnut_model
 
-This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the wnut_17 dataset.
+This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on the wnut_17 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2784
-- Precision: 0.5590
-- Recall: 0.2808
-- F1: 0.3738
-- Accuracy: 0.9410
+- Loss: 0.3052
+- Precision: 0.5218
+- Recall: 0.3874
+- F1: 0.4447
+- Accuracy: 0.9463
 
 ## Model description
 
@@ -74,14 +74,18 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
-- num_epochs: 2
+- num_epochs: 6
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 1.0   | 213  | 0.2856          | 0.4622    | 0.2150 | 0.2935 | 0.9368   |
-| No log        | 2.0   | 426  | 0.2784          | 0.5590    | 0.2808 | 0.3738 | 0.9410   |
+| No log        | 1.0   | 213  | 0.2801          | 0.5586    | 0.2428 | 0.3385 | 0.9384   |
+| No log        | 2.0   | 426  | 0.2573          | 0.5228    | 0.2975 | 0.3792 | 0.9425   |
+| 0.1769        | 3.0   | 639  | 0.2859          | 0.5510    | 0.3253 | 0.4091 | 0.9450   |
+| 0.1769        | 4.0   | 852  | 0.2965          | 0.5499    | 0.3522 | 0.4294 | 0.9462   |
+| 0.0496        | 5.0   | 1065 | 0.2951          | 0.5123    | 0.3846 | 0.4394 | 0.9458   |
+| 0.0496        | 6.0   | 1278 | 0.3052          | 0.5218    | 0.3874 | 0.4447 | 0.9463   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:21f8bff87f35530c6b816fa5f8c00e583c1b2403863fe6671cc14beeb4a324af
+oid sha256:43dac66a561faacb38792fcec6ecef2fc6fa1f0a409591dc1b704e1b1fbaf6f7
 size 265503852

runs/Mar24_08-20-40_5b1bc1e3325d/events.out.tfevents.1742804442.5b1bc1e3325d.11700.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:86a08583c01cf3b292d6a05c9436fb9823dedf9f0c79bfe656e7d971341e8890
-size 8383
+oid sha256:353cfb871f09912d110da9c866410b2cf86c3e43c1ef12d38de7e0fcf96ecc01
+size 9209