End of training

README.md

@@ -3,6 +3,8 @@ license: apache-2.0
 base_model: google/mobilebert-uncased
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
 model-index:
 - name: mobilebert_trajectory_proof0
   results: []
@@ -14,6 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
 # mobilebert_trajectory_proof0
 
 This model is a fine-tuned version of [google/mobilebert-uncased](https://huggingface.co/google/mobilebert-uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 15160.7559
+- Accuracy: 0.6
 
 ## Model description
 
@@ -38,13 +43,20 @@ 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: 1
+- num_epochs: 8
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 7    | 31589.3496      | 0.45     |
+| No log        | 1.0   | 7    | 164888.375      | 0.4      |
+| No log        | 2.0   | 14   | 49532.4297      | 0.4      |
+| No log        | 3.0   | 21   | 38923.6992      | 0.6      |
+| No log        | 4.0   | 28   | 3229.375        | 0.35     |
+| No log        | 5.0   | 35   | 30543.9062      | 0.6      |
+| No log        | 6.0   | 42   | 43326.5703      | 0.4      |
+| No log        | 7.0   | 49   | 17400.2754      | 0.6      |
+| No log        | 8.0   | 56   | 15160.7559      | 0.6      |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:0be3edaa7d9032ab9d498a343267afd905b94ef034fe5e1cc7868361f39a1a5c
+oid sha256:20d25f2caca732a25ead97e610d0e282fd3719820879ea10bfea00ea38d38ab4
 size 98470112