End of training

README.md

@@ -1,6 +1,6 @@
 ---
 license: apache-2.0
-base_model: distilbert/distilbert-base-uncased
+base_model: google/mobilebert-uncased
 tags:
 - generated_from_trainer
 metrics:
@@ -18,9 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # nlp_til3
 
-This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
+This model is a fine-tuned version of [google/mobilebert-uncased](https://huggingface.co/google/mobilebert-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0001
+- Loss: 0.0000
 - Precision: 1.0
 - Recall: 1.0
 - F1: 1.0
@@ -49,17 +49,14 @@ 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: 2
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1  | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
-| No log        | 1.0   | 219  | 0.0005          | 1.0       | 1.0    | 1.0 | 1.0      |
-| No log        | 2.0   | 438  | 0.0002          | 1.0       | 1.0    | 1.0 | 1.0      |
-| 0.0312        | 3.0   | 657  | 0.0002          | 1.0       | 1.0    | 1.0 | 1.0      |
-| 0.0312        | 4.0   | 876  | 0.0001          | 1.0       | 1.0    | 1.0 | 1.0      |
-| 0.0004        | 5.0   | 1095 | 0.0001          | 1.0       | 1.0    | 1.0 | 1.0      |
+| No log        | 1.0   | 219  | 0.0001          | 1.0       | 1.0    | 1.0 | 1.0      |
+| No log        | 2.0   | 438  | 0.0000          | 1.0       | 1.0    | 1.0 | 1.0      |
 
 
 ### Framework versions