zarakun/wav2vec

README.md

@@ -24,10 +24,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.083089905874716
+      value: 0.8922427783187277
     - name: F1
       type: f1
-      value: 0.004949394375863969
+      value: 0.8725152235162986
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -37,9 +37,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the speech_commands dataset.
 It achieves the following results on the evaluation set:
-- Loss: 3.6305
-- Accuracy: 0.0831
-- F1: 0.0049
+- Loss: 0.5378
+- Accuracy: 0.8922
+- F1: 0.8725
 
 ## Model description
 
@@ -58,9 +58,9 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.0003
-- train_batch_size: 240
-- eval_batch_size: 240
+- learning_rate: 3e-05
+- train_batch_size: 80
+- eval_batch_size: 80
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -70,9 +70,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 3.3972        | 1.0   | 213  | 3.6305          | 0.0831   | 0.0049 |
-| 3.3928        | 2.0   | 426  | 3.7042          | 0.0815   | 0.0049 |
-| 3.3919        | 3.0   | 639  | 3.7246          | 0.0042   | 0.0003 |
+| 0.6513        | 1.0   | 639  | 0.7527          | 0.8906   | 0.8844 |
+| 0.3916        | 2.0   | 1278 | 0.5756          | 0.8900   | 0.8529 |
+| 0.2746        | 3.0   | 1917 | 0.5378          | 0.8922   | 0.8725 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f3cccc9278c7dc82b49c471f9027263ae2a6d44efa7e63af714f60fced7cba48
+oid sha256:6defba843816c51c54110dfaf8e94e2fdb7a3b41d80892fa1d8b043478d79091
 size 378332188

runs/Nov24_15-49-00_80c1249b4a29/events.out.tfevents.1732463342.80c1249b4a29.30.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:646ba550bcabf589276188b95502b108f43372886c217ca055358e9c6bae1aa7
+size 49627

runs/Nov24_15-49-00_80c1249b4a29/events.out.tfevents.1732464931.80c1249b4a29.30.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3a1c68c6be52291724c061c777d3a6304cd6141cbf1ddad46e53f2cf263b722b
+size 457

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:22aa6a6ef3ccee04b900529d8e9dd7cf9d9a5768ccf1a73a796882a030b6e651
+oid sha256:c2da35c5ac34c26308d7e16058d9ab77744fba74287c7512f71f981532d9bc75
 size 5176