End of training

README.md

@@ -3,11 +3,6 @@ license: apache-2.0
 base_model: distilbert-base-uncased
 tags:
 - generated_from_trainer
-metrics:
-- precision
-- recall
-- f1
-- accuracy
 model-index:
 - name: trainer_2f
   results: []
@@ -20,11 +15,16 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7623
-- Precision: 0.8011
-- Recall: 0.7955
-- F1: 0.7949
-- Accuracy: 0.7955
+- eval_loss: 0.0017
+- eval_precision: 1.0
+- eval_recall: 1.0
+- eval_f1: 1.0
+- eval_accuracy: 1.0
+- eval_runtime: 132.697
+- eval_samples_per_second: 2.69
+- eval_steps_per_second: 0.173
+- epoch: 3.24
+- step: 360
 
 ## Model description
 
@@ -51,30 +51,6 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 5
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 1.8737        | 0.27  | 30   | 1.6882          | 0.3681    | 0.3669 | 0.3246 | 0.3669   |
-| 1.4895        | 0.54  | 60   | 1.2905          | 0.6124    | 0.4650 | 0.4154 | 0.4650   |
-| 1.21          | 0.81  | 90   | 0.9996          | 0.6787    | 0.6779 | 0.6631 | 0.6779   |
-| 0.8822        | 1.08  | 120  | 0.7850          | 0.7483    | 0.7423 | 0.7338 | 0.7423   |
-| 0.6126        | 1.35  | 150  | 0.7046          | 0.7708    | 0.7647 | 0.7638 | 0.7647   |
-| 0.507         | 1.62  | 180  | 0.6944          | 0.7453    | 0.7395 | 0.7374 | 0.7395   |
-| 0.3995        | 1.89  | 210  | 0.6340          | 0.7906    | 0.7815 | 0.7828 | 0.7815   |
-| 0.2939        | 2.16  | 240  | 0.6349          | 0.7805    | 0.7759 | 0.7742 | 0.7759   |
-| 0.2387        | 2.43  | 270  | 0.6617          | 0.7982    | 0.7899 | 0.7891 | 0.7899   |
-| 0.2309        | 2.7   | 300  | 0.6608          | 0.7991    | 0.7871 | 0.7858 | 0.7871   |
-| 0.1775        | 2.97  | 330  | 0.6360          | 0.8173    | 0.8095 | 0.8095 | 0.8095   |
-| 0.1115        | 3.24  | 360  | 0.7238          | 0.7904    | 0.7871 | 0.7863 | 0.7871   |
-| 0.1048        | 3.51  | 390  | 0.6657          | 0.8103    | 0.8039 | 0.8030 | 0.8039   |
-| 0.0664        | 3.78  | 420  | 0.7289          | 0.8159    | 0.8095 | 0.8089 | 0.8095   |
-| 0.0658        | 4.05  | 450  | 0.7678          | 0.8120    | 0.8011 | 0.8012 | 0.8011   |
-| 0.0259        | 4.32  | 480  | 0.7615          | 0.8198    | 0.8123 | 0.8110 | 0.8123   |
-| 0.0475        | 4.59  | 510  | 0.7533          | 0.7984    | 0.7927 | 0.7923 | 0.7927   |
-| 0.0408        | 4.86  | 540  | 0.7645          | 0.7988    | 0.7927 | 0.7920 | 0.7927   |
-
-
 ### Framework versions
 
 - Transformers 4.39.3

model.safetensors

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training_args.bin

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