End of training

README.md

@@ -4,11 +4,6 @@ license: apache-2.0
 base_model: distilbert/distilbert-base-uncased
 tags:
 - generated_from_trainer
-metrics:
-- precision
-- recall
-- f1
-- accuracy
 model-index:
 - name: ner-model
   results: []
@@ -20,12 +15,6 @@ should probably proofread and complete it, then remove this comment. -->
 # ner-model
 
 This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on the None dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.2276
-- Precision: 0.0
-- Recall: 0.0
-- F1: 0.0
-- Accuracy: 0.9510
 
 ## Model description
 
@@ -50,14 +39,13 @@ The following hyperparameters were used during training:
 - 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
-- num_epochs: 2
+- num_epochs: 1
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1  | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
-| No log        | 1.0   | 2    | 0.2753          | 0.0       | 0.0    | 0.0 | 0.9510   |
-| No log        | 2.0   | 4    | 0.2276          | 0.0       | 0.0    | 0.0 | 0.9510   |
+| No log        | 1.0   | 2    | 0.2960          | 0.0       | 0.0    | 0.0 | 0.9510   |
 
 
 ### Framework versions

runs/Jan16_11-13-33_f35fb2804064/events.out.tfevents.1737026013.f35fb2804064.206.7

@@ -1,3 +1,3 @@
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+size 5832