End of training

README.md

@@ -18,8 +18,8 @@ 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 the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.8947
-- Accuracy: 0.6975
+- Loss: 0.9871
+- Accuracy: 0.6166
 
 ## Model description
 
@@ -47,27 +47,28 @@ The following hyperparameters were used during training:
 - 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: 15
+- num_epochs: 16
 
 ### Training results
 
 | Training Loss | Epoch   | Step | Validation Loss | Accuracy |
 |:-------------:|:-------:|:----:|:---------------:|:--------:|
-| 6.4185        | 0.9455  | 13   | 1.5833          | 0.2979   |
-| 6.3212        | 1.9636  | 27   | 1.5130          | 0.3118   |
-| 5.7314        | 2.9818  | 41   | 1.3549          | 0.4711   |
-| 5.3036        | 4.0     | 55   | 1.2348          | 0.5150   |
-| 4.9932        | 4.9455  | 68   | 1.1989          | 0.5058   |
-| 4.5875        | 5.9636  | 82   | 1.1178          | 0.5704   |
-| 4.327         | 6.9818  | 96   | 1.0420          | 0.6443   |
-| 3.9131        | 8.0     | 110  | 1.0319          | 0.6282   |
-| 3.7915        | 8.9455  | 123  | 0.9752          | 0.6744   |
-| 3.6121        | 9.9636  | 137  | 0.9379          | 0.6651   |
-| 3.4393        | 10.9818 | 151  | 0.9254          | 0.6928   |
-| 3.2218        | 12.0    | 165  | 0.9149          | 0.6767   |
-| 3.1582        | 12.9455 | 178  | 0.9063          | 0.6952   |
-| 2.9563        | 13.9636 | 192  | 0.8947          | 0.6975   |
-| 2.9563        | 14.1818 | 195  | 0.8946          | 0.6975   |
+| 6.417         | 0.9455  | 13   | 1.5926          | 0.2771   |
+| 6.3309        | 1.9636  | 27   | 1.5075          | 0.3072   |
+| 5.6183        | 2.9818  | 41   | 1.3704          | 0.4111   |
+| 5.14          | 4.0     | 55   | 1.2656          | 0.4850   |
+| 4.9801        | 4.9455  | 68   | 1.1981          | 0.5104   |
+| 4.5219        | 5.9636  | 82   | 1.1474          | 0.5566   |
+| 4.3619        | 6.9818  | 96   | 1.0990          | 0.5889   |
+| 3.9786        | 8.0     | 110  | 1.0779          | 0.5751   |
+| 3.814         | 8.9455  | 123  | 1.0425          | 0.6120   |
+| 3.7944        | 9.9636  | 137  | 1.0393          | 0.5935   |
+| 3.5764        | 10.9818 | 151  | 1.0298          | 0.6005   |
+| 3.412         | 12.0    | 165  | 1.0193          | 0.6051   |
+| 3.3527        | 12.9455 | 178  | 1.0004          | 0.6074   |
+| 3.305         | 13.9636 | 192  | 0.9965          | 0.6028   |
+| 3.212         | 14.9818 | 206  | 0.9871          | 0.6166   |
+| 3.212         | 15.1273 | 208  | 0.9871          | 0.6143   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:743662bba7d9109143b6a34c48a26ee40344820ef4041beadf7102213554fa47
+oid sha256:492b93cead2d0fdb23163e98bd575819182fa2ce67be2a121876c1ce65af1495
 size 378305452

runs/Oct25_07-49-50_13afc5056c77/events.out.tfevents.1729843293.13afc5056c77.30.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:83c05e957b4f0b888c26be5dc8ea50ec5301aa3f9451a634f3636da9fefb3f5e
+size 411