Model save

README.md

@@ -3,7 +3,6 @@ library_name: transformers
 license: apache-2.0
 base_model: facebook/wav2vec2-base
 tags:
-- audio-classification
 - generated_from_trainer
 metrics:
 - accuracy
@@ -17,10 +16,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # wav2vec2-base-wakeword
 
-This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the superb dataset.
+This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 6.0557
-- Accuracy: 0.6140
+- Loss: 3.8197
+- Accuracy: 0.7174
 
 ## Model description
 
@@ -40,11 +39,11 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 3e-05
-- train_batch_size: 512
+- train_batch_size: 32
 - eval_batch_size: 32
 - seed: 0
 - gradient_accumulation_steps: 4
-- total_train_batch_size: 2048
+- total_train_batch_size: 128
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.1
@@ -53,13 +52,13 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 1    | 6.2039          | 0.0      |
-| No log        | 2.0   | 2    | 6.1510          | 0.0175   |
-| No log        | 3.0   | 3    | 6.0954          | 0.4386   |
-| No log        | 4.0   | 4    | 6.0688          | 0.5789   |
-| No log        | 5.0   | 5    | 6.0557          | 0.6140   |
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| 7.269         | 0.9832 | 44   | 6.9029          | 0.5275   |
+| 6.1201        | 1.9888 | 89   | 5.6800          | 0.5573   |
+| 4.9094        | 2.9944 | 134  | 4.6621          | 0.6797   |
+| 4.2402        | 4.0    | 179  | 4.0217          | 0.7473   |
+| 3.8857        | 4.9162 | 220  | 3.8197          | 0.7174   |
 
 
 ### Framework versions