End of training

README.md

@@ -3,6 +3,11 @@ license: apache-2.0
 base_model: distilbert-base-uncased
 tags:
 - generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
 model-index:
 - name: trainer_2f
   results: []
@@ -15,16 +20,11 @@ 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:
-- 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
+- Loss: 0.6467
+- Precision: 0.8276
+- Recall: 0.8207
+- F1: 0.8208
+- Accuracy: 0.8207
 
 ## Model description
 
@@ -49,7 +49,27 @@ 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: 5
+- num_epochs: 4
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 1.8981        | 0.27  | 30   | 1.7350          | 0.4229    | 0.4146 | 0.3885 | 0.4146   |
+| 1.5297        | 0.54  | 60   | 1.3572          | 0.4949    | 0.4286 | 0.3544 | 0.4286   |
+| 1.2565        | 0.81  | 90   | 1.0154          | 0.7047    | 0.6891 | 0.6859 | 0.6891   |
+| 0.9124        | 1.08  | 120  | 0.8039          | 0.7558    | 0.7535 | 0.7496 | 0.7535   |
+| 0.6233        | 1.35  | 150  | 0.6860          | 0.7788    | 0.7731 | 0.7692 | 0.7731   |
+| 0.5281        | 1.62  | 180  | 0.6874          | 0.7504    | 0.7395 | 0.7383 | 0.7395   |
+| 0.4313        | 1.89  | 210  | 0.6302          | 0.7992    | 0.7899 | 0.7888 | 0.7899   |
+| 0.3041        | 2.16  | 240  | 0.6437          | 0.7706    | 0.7619 | 0.7610 | 0.7619   |
+| 0.2096        | 2.43  | 270  | 0.6585          | 0.7847    | 0.7759 | 0.7731 | 0.7759   |
+| 0.2161        | 2.7   | 300  | 0.6198          | 0.8121    | 0.8039 | 0.8027 | 0.8039   |
+| 0.1888        | 2.97  | 330  | 0.6286          | 0.8298    | 0.8207 | 0.8201 | 0.8207   |
+| 0.1107        | 3.24  | 360  | 0.6106          | 0.8297    | 0.8263 | 0.8260 | 0.8263   |
+| 0.0834        | 3.51  | 390  | 0.6133          | 0.8223    | 0.8179 | 0.8170 | 0.8179   |
+| 0.0858        | 3.78  | 420  | 0.6481          | 0.8244    | 0.8179 | 0.8178 | 0.8179   |
+
 
 ### Framework versions
 

model.safetensors

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runs/Apr05_14-40-39_fd0989d591d3/events.out.tfevents.1712328045.fd0989d591d3.314.4

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runs/Apr05_14-40-39_fd0989d591d3/events.out.tfevents.1712332289.fd0989d591d3.314.5

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training_args.bin

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