Training in progress, step 28

README.md

@@ -25,17 +25,17 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the ntnu-smil/sandi2025-ds dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 1.0594
-- eval_wer: 69.5579
-- eval_cer: 217.8173
-- eval_decode_runtime: 249.6101
-- eval_wer_runtime: 0.1961
-- eval_cer_runtime: 0.4627
-- eval_runtime: 495.7046
-- eval_samples_per_second: 6.554
+- eval_loss: 1.0261
+- eval_wer: 65.3995
+- eval_cer: 213.4907
+- eval_decode_runtime: 248.5027
+- eval_wer_runtime: 0.1970
+- eval_cer_runtime: 0.4672
+- eval_runtime: 494.8987
+- eval_samples_per_second: 6.565
 - eval_steps_per_second: 0.206
-- epoch: 3.1071
-- step: 21
+- epoch: 4.1429
+- step: 28
 
 ## Model description
 

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:27baf7c4da5806493a458e038734af5d645c6d179d207f1aad0c43732ea83714
+oid sha256:9a29dc73c61690f9404cf2b7086c0cb23eee4a9e15e1e86fce5206aedba548af
 size 230831688

runs/May18_21-16-50_5cc511b6e349/events.out.tfevents.1747603222.5cc511b6e349.455245.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:35c9f35fedc2e766eb72ca73768713337bd2e7ff4197f231f9c612de6186e03a
-size 9234051
+oid sha256:76296fd3be10ea8e5cabaa1cb17abc9d4ed3d202ca55ced6063cb78cfc959eb4
+size 12316970