End of training

README.md

@@ -23,7 +23,7 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.9786633608199619
+      value: 0.9799704307080909
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,8 +33,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [imrajeshkr/distilhubert-finetuned-speech_commands](https://huggingface.co/imrajeshkr/distilhubert-finetuned-speech_commands) on the audiofolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1986
-- F1: 0.9787
+- Loss: 0.0751
+- F1: 0.9800
 
 ## Model description
 
@@ -54,29 +54,24 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 8
-- eval_batch_size: 8
+- train_batch_size: 32
+- eval_batch_size: 32
 - seed: 42
 - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.1
-- num_epochs: 10
+- num_epochs: 5
 - mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch | Step  | Validation Loss | F1     |
-|:-------------:|:-----:|:-----:|:---------------:|:------:|
-| 0.1816        | 1.0   | 4861  | 0.1493          | 0.9679 |
-| 0.0001        | 2.0   | 9722  | 0.2278          | 0.9640 |
-| 0.0           | 3.0   | 14583 | 0.2210          | 0.9667 |
-| 0.0005        | 4.0   | 19444 | 0.1952          | 0.9749 |
-| 0.1422        | 5.0   | 24305 | 0.1884          | 0.9762 |
-| 0.0           | 6.0   | 29166 | 0.1888          | 0.9780 |
-| 0.0           | 7.0   | 34027 | 0.2164          | 0.9728 |
-| 0.0           | 8.0   | 38888 | 0.2039          | 0.9774 |
-| 0.0           | 9.0   | 43749 | 0.1925          | 0.9800 |
-| 0.0           | 10.0  | 48610 | 0.1986          | 0.9787 |
+| Training Loss | Epoch | Step | Validation Loss | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.2364        | 1.0   | 1216 | 0.2190          | 0.9311 |
+| 0.1287        | 2.0   | 2432 | 0.1014          | 0.9678 |
+| 0.0445        | 3.0   | 3648 | 0.0743          | 0.9778 |
+| 0.0037        | 4.0   | 4864 | 0.0785          | 0.9773 |
+| 0.0087        | 5.0   | 6080 | 0.0751          | 0.9800 |
 
 
 ### Framework versions