End of training

README.md

@@ -17,8 +17,8 @@ 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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6711
-- Accuracy: 0.5385
+- Loss: 0.7352
+- Accuracy: 0.4615
 
 ## Model description
 
@@ -37,9 +37,9 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 1e-05
-- train_batch_size: 8
-- eval_batch_size: 8
+- learning_rate: 3e-05
+- train_batch_size: 16
+- eval_batch_size: 16
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -50,21 +50,21 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.697         | 1.0   | 7    | 0.6964          | 0.3846   |
-| 0.667         | 2.0   | 14   | 0.6996          | 0.3846   |
-| 0.6334        | 3.0   | 21   | 0.7151          | 0.3846   |
-| 0.6045        | 4.0   | 28   | 0.7357          | 0.3846   |
-| 0.6263        | 5.0   | 35   | 0.7421          | 0.3846   |
-| 0.549         | 6.0   | 42   | 0.7133          | 0.3846   |
-| 0.5676        | 7.0   | 49   | 0.7031          | 0.3846   |
-| 0.5625        | 8.0   | 56   | 0.7056          | 0.3846   |
-| 0.5074        | 9.0   | 63   | 0.6912          | 0.4615   |
-| 0.5372        | 10.0  | 70   | 0.6904          | 0.4615   |
-| 0.5103        | 11.0  | 77   | 0.6856          | 0.4615   |
-| 0.47          | 12.0  | 84   | 0.6895          | 0.4615   |
-| 0.4951        | 13.0  | 91   | 0.6855          | 0.4615   |
-| 0.4505        | 14.0  | 98   | 0.6744          | 0.5385   |
-| 0.4395        | 15.0  | 105  | 0.6711          | 0.5385   |
+| 0.7039        | 1.0   | 4    | 0.7024          | 0.3077   |
+| 0.6543        | 2.0   | 8    | 0.7353          | 0.3846   |
+| 0.7184        | 3.0   | 12   | 0.7668          | 0.3846   |
+| 0.5367        | 4.0   | 16   | 0.7761          | 0.3846   |
+| 0.7201        | 5.0   | 20   | 0.7806          | 0.3846   |
+| 0.6337        | 6.0   | 24   | 0.7663          | 0.3077   |
+| 0.5026        | 7.0   | 28   | 0.7608          | 0.3077   |
+| 0.4192        | 8.0   | 32   | 0.8232          | 0.3077   |
+| 0.4029        | 9.0   | 36   | 0.8245          | 0.3077   |
+| 0.3756        | 10.0  | 40   | 0.8133          | 0.3846   |
+| 0.3485        | 11.0  | 44   | 0.7740          | 0.3846   |
+| 0.4554        | 12.0  | 48   | 0.7356          | 0.3846   |
+| 0.3255        | 13.0  | 52   | 0.7305          | 0.3846   |
+| 0.3212        | 14.0  | 56   | 0.7334          | 0.4615   |
+| 0.3179        | 15.0  | 60   | 0.7352          | 0.4615   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f2e5d04370bf47884801b387e141413b6ec69f3f49cabf851d01b32421c4508c
+oid sha256:64ba505e46551de64aecc6975a8acbc35a0d88bd40768554e394ef4167a09c04
 size 378302360

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b9f3c1cdb3575623103f822ff473340f0c47568885e2b6c18c719959e13d681b
+oid sha256:973cc4b3e39c2f856d0d866f3ccc8d331782a65053fa955d9e1f7015be4ca644
 size 4664