End of training

README.md

@@ -1,33 +1,10 @@
 ---
 library_name: transformers
-license: apache-2.0
-base_model: facebook/wav2vec2-base
 tags:
 - generated_from_trainer
-datasets:
-- audiofolder
-metrics:
-- accuracy
-- f1
 model-index:
 - name: wav2vec2-base_ADReSSo
-  results:
-  - task:
-      name: Audio Classification
-      type: audio-classification
-    dataset:
-      name: audiofolder
-      type: audiofolder
-      config: default
-      split: train
-      args: default
-    metrics:
-    - name: Accuracy
-      type: accuracy
-      value: 0.647887323943662
-    - name: F1
-      type: f1
-      value: 0.576271186440678
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -35,11 +12,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # wav2vec2-base_ADReSSo
 
-This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the audiofolder dataset.
-It achieves the following results on the evaluation set:
-- Loss: 1.2035
-- Accuracy: 0.6479
-- F1: 0.5763
+This model was trained from scratch on an unknown dataset.
 
 ## Model description
 
@@ -58,52 +31,13 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 3e-05
-- train_batch_size: 8
+- learning_rate: 5e-05
+- train_batch_size: 32
 - eval_batch_size: 8
 - seed: 42
-- gradient_accumulation_steps: 4
-- total_train_batch_size: 32
 - 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: 100
-
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| No log        | 1.0   | 4    | 0.6975          | 0.4762   | 0.6452 |
-| No log        | 2.0   | 8    | 0.6969          | 0.4762   | 0.6452 |
-| 0.6905        | 3.0   | 12   | 0.6971          | 0.4762   | 0.6452 |
-| 0.6905        | 4.0   | 16   | 0.6974          | 0.4762   | 0.6452 |
-| 0.6821        | 5.0   | 20   | 0.6983          | 0.4762   | 0.6452 |
-| 0.6821        | 6.0   | 24   | 0.6991          | 0.4762   | 0.6452 |
-| 0.6821        | 7.0   | 28   | 0.6905          | 0.4524   | 0.6230 |
-| 0.6564        | 8.0   | 32   | 0.6814          | 0.5952   | 0.6667 |
-| 0.6564        | 9.0   | 36   | 0.6923          | 0.6429   | 0.7059 |
-| 0.5495        | 10.0  | 40   | 0.6740          | 0.6429   | 0.6667 |
-| 0.5495        | 11.0  | 44   | 0.6832          | 0.6667   | 0.65   |
-| 0.5495        | 12.0  | 48   | 0.7317          | 0.6429   | 0.6512 |
-| 0.3374        | 13.0  | 52   | 0.7477          | 0.5714   | 0.5909 |
-| 0.3374        | 14.0  | 56   | 0.6157          | 0.6905   | 0.6667 |
-| 0.2334        | 15.0  | 60   | 0.5803          | 0.7381   | 0.6857 |
-| 0.2334        | 16.0  | 64   | 0.7294          | 0.6905   | 0.6829 |
-| 0.2334        | 17.0  | 68   | 0.9071          | 0.6905   | 0.6829 |
-| 0.1109        | 18.0  | 72   | 0.8378          | 0.7143   | 0.6842 |
-| 0.1109        | 19.0  | 76   | 0.8808          | 0.7143   | 0.6667 |
-| 0.0673        | 20.0  | 80   | 0.7834          | 0.7857   | 0.7692 |
-| 0.0673        | 21.0  | 84   | 0.9808          | 0.7381   | 0.7027 |
-| 0.0673        | 22.0  | 88   | 1.0021          | 0.7381   | 0.7027 |
-| 0.0472        | 23.0  | 92   | 1.1045          | 0.7143   | 0.6667 |
-| 0.0472        | 24.0  | 96   | 1.0585          | 0.7381   | 0.7027 |
-| 0.0459        | 25.0  | 100  | 1.0686          | 0.7381   | 0.7179 |
-| 0.0459        | 26.0  | 104  | 1.1065          | 0.7381   | 0.7317 |
-| 0.0459        | 27.0  | 108  | 1.0363          | 0.7619   | 0.7222 |
-| 0.0305        | 28.0  | 112  | 1.0743          | 0.7381   | 0.6857 |
-| 0.0305        | 29.0  | 116  | 1.3729          | 0.6905   | 0.6667 |
-| 0.0149        | 30.0  | 120  | 1.2655          | 0.7381   | 0.7027 |
-
+- num_epochs: 3.0
 
 ### Framework versions
 

runs/May03_23-35-00_u22/events.out.tfevents.1746282916.u22.1373580.1

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+size 419

training_args.bin

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