Model save

README.md

@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6465
-- Wer: 79.3330
+- Loss: 0.7098
+- Wer: 74.8294
 
 ## Model description
 
@@ -45,7 +45,7 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
-- training_steps: 4000
+- num_epochs: 4
 - mixed_precision_training: Native AMP
 
 ### Training results
@@ -56,6 +56,10 @@ The following hyperparameters were used during training:
 | 0.6989        | 0.9095 | 2000 | 0.6826          | 74.6797  |
 | 0.4569        | 1.3643 | 3000 | 0.6605          | 80.5546  |
 | 0.4813        | 1.8190 | 4000 | 0.6465          | 79.3330  |
+| 0.3847        | 2.2738 | 5000 | 0.6780          | 73.8704  |
+| 0.3865        | 2.7285 | 6000 | 0.6712          | 82.8552  |
+| 0.2736        | 3.1833 | 7000 | 0.7016          | 75.8153  |
+| 0.2428        | 3.6380 | 8000 | 0.7098          | 74.8294  |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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 size 3055544304

runs/Oct02_17-41-28_register-workstation-ssh/events.out.tfevents.1727890964.register-workstation-ssh.3080859.1

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f9acf297a14c793687a6bb57827227e8960d7e19d7ca7030f4c963a1026ee176
-size 40914
+oid sha256:3d4030dc8d312dab1b310690ac4ddcce76852f96cf58498cb85b982de0207696
+size 41268