End of training

README.md

@@ -3,11 +3,26 @@ license: apache-2.0
 base_model: facebook/wav2vec2-base
 tags:
 - generated_from_trainer
+datasets:
+- minds14
 metrics:
 - accuracy
 model-index:
 - name: Audioclasswindows
-  results: []
+  results:
+  - task:
+      name: Audio Classification
+      type: audio-classification
+    dataset:
+      name: minds14
+      type: minds14
+      config: en-US
+      split: train
+      args: en-US
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.07964601769911504
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -15,9 +30,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # Audioclasswindows
 
-This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
+This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the minds14 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.6744
+- Loss: 2.6453
 - Accuracy: 0.0796
 
 ## Model description
@@ -37,39 +52,30 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 3e-05
-- train_batch_size: 32
-- eval_batch_size: 32
+- learning_rate: 0.0003
+- train_batch_size: 8
+- eval_batch_size: 8
 - seed: 42
 - gradient_accumulation_steps: 4
-- total_train_batch_size: 128
+- total_train_batch_size: 32
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.1
-- num_epochs: 16
+- num_epochs: 4
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 0.8   | 3    | 2.6364          | 0.1062   |
-| No log        | 1.87  | 7    | 2.6465          | 0.0442   |
-| 2.6363        | 2.93  | 11   | 2.6420          | 0.0973   |
-| 2.6363        | 4.0   | 15   | 2.6543          | 0.0796   |
-| 2.6363        | 4.8   | 18   | 2.6579          | 0.0885   |
-| 2.6244        | 5.87  | 22   | 2.6587          | 0.0885   |
-| 2.6244        | 6.93  | 26   | 2.6608          | 0.0885   |
-| 2.6103        | 8.0   | 30   | 2.6632          | 0.0796   |
-| 2.6103        | 8.8   | 33   | 2.6664          | 0.0796   |
-| 2.6103        | 9.87  | 37   | 2.6692          | 0.0796   |
-| 2.6019        | 10.93 | 41   | 2.6722          | 0.0796   |
-| 2.6019        | 12.0  | 45   | 2.6740          | 0.0796   |
-| 2.6019        | 12.8  | 48   | 2.6744          | 0.0796   |
+| 2.6426        | 0.98  | 14   | 2.6541          | 0.0796   |
+| 2.6524        | 1.96  | 28   | 2.6401          | 0.0796   |
+| 2.6346        | 2.95  | 42   | 2.6441          | 0.0796   |
+| 2.6325        | 3.93  | 56   | 2.6453          | 0.0796   |
 
 
 ### Framework versions
 
-- Transformers 4.35.2
-- Pytorch 2.1.0+cu121
-- Datasets 2.16.1
-- Tokenizers 0.15.0
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

model.safetensors

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 size 378314704

runs/Mar27_04-00-13_abd71b82d11d/events.out.tfevents.1711512015.abd71b82d11d.298.1

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+size 9633