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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.0599
-- Accuracy: 0.4222
+- Loss: 1.6597
+- Accuracy: 0.7778
 
 ## Model description
 
@@ -47,13 +47,14 @@ 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: 1
+- num_epochs: 2
 
 ### Training results
 
 | Training Loss | Epoch  | Step | Validation Loss | Accuracy |
 |:-------------:|:------:|:----:|:---------------:|:--------:|
-| 2.1023        | 0.9778 | 22   | 2.0599          | 0.4222   |
+| 1.8564        | 0.9778 | 22   | 1.8123          | 0.6      |
+| 1.6587        | 1.9556 | 44   | 1.6597          | 0.7778   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6078b35b14a8ceba527024a16fe40139739849a067240ff088340b36a75c63fe
+oid sha256:27eb7486f71ad335c58b56f26605944a0c009c13d5b15767da7800529457a928
 size 378310592

runs/Dec04_17-09-22_f00f8aa67887/events.out.tfevents.1733332165.f00f8aa67887.277.1

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d9cac78b6dff00c5efe8e09fec0fd1534404a511924914401332780b0df59c56
-size 7862
+oid sha256:9a9cc2e14ff682c00b9f5042112b627e0437f66997d39e32461d4b8aff591cc8
+size 8941