End of training

README.md

@@ -1,6 +1,6 @@
 ---
 license: apache-2.0
-base_model: bert-base-cased
+base_model: bert-base-uncased
 tags:
 - generated_from_trainer
 metrics:
@@ -15,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # movie-genre-predictions
 
-This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset.
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.6354
-- Accuracy: 0.4379
+- Loss: 1.7801
+- Accuracy: 0.4307
 
 ## Model description
 
@@ -37,7 +37,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2e-05
+- learning_rate: 5e-05
 - train_batch_size: 32
 - eval_batch_size: 64
 - seed: 42
@@ -49,9 +49,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.6427        | 1.0   | 1159 | 1.6026          | 0.4366   |
-| 1.4301        | 2.0   | 2318 | 1.5943          | 0.4442   |
-| 1.2482        | 3.0   | 3477 | 1.6354          | 0.4379   |
+| 1.6317        | 1.0   | 1159 | 1.5848          | 0.4400   |
+| 1.3155        | 2.0   | 2318 | 1.6256          | 0.4408   |
+| 0.9483        | 3.0   | 3477 | 1.7801          | 0.4307   |
 
 
 ### Framework versions