End of training

README.md

@@ -3,11 +3,6 @@ license: apache-2.0
 base_model: distilbert-base-cased
 tags:
 - generated_from_trainer
-metrics:
-- precision
-- recall
-- f1
-- accuracy
 model-index:
 - name: DIALOGUE_second_model
   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-cased](https://huggingface.co/distilbert-base-cased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5652
-- Precision: 0.8647
-- Recall: 0.8553
-- F1: 0.8558
-- Accuracy: 0.8553
+- eval_loss: 1.0869
+- eval_precision: 0.8180
+- eval_recall: 0.8158
+- eval_f1: 0.8160
+- eval_accuracy: 0.8158
+- eval_runtime: 6.0635
+- eval_samples_per_second: 12.534
+- eval_steps_per_second: 1.649
+- epoch: 9.17
+- step: 440
 
 ## Model description
 
@@ -49,22 +49,7 @@ 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: 3
-
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 1.3504        | 0.31  | 15   | 1.1938          | 0.7324    | 0.5921 | 0.5808 | 0.5921   |
-| 1.034         | 0.62  | 30   | 0.8600          | 0.7407    | 0.7105 | 0.7154 | 0.7105   |
-| 0.6745        | 0.94  | 45   | 0.6597          | 0.7670    | 0.7632 | 0.7643 | 0.7632   |
-| 0.5462        | 1.25  | 60   | 0.6939          | 0.7536    | 0.75   | 0.7432 | 0.75     |
-| 0.5193        | 1.56  | 75   | 0.5183          | 0.7839    | 0.7763 | 0.7787 | 0.7763   |
-| 0.3645        | 1.88  | 90   | 0.5712          | 0.8512    | 0.8421 | 0.8431 | 0.8421   |
-| 0.3355        | 2.19  | 105  | 0.6389          | 0.7836    | 0.7763 | 0.7750 | 0.7763   |
-| 0.3992        | 2.5   | 120  | 0.5821          | 0.8180    | 0.8158 | 0.8160 | 0.8158   |
-| 0.2971        | 2.81  | 135  | 0.5652          | 0.8647    | 0.8553 | 0.8558 | 0.8553   |
-
+- num_epochs: 15
 
 ### Framework versions
 

model.safetensors

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training_args.bin

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