unanam/whisper-large-ver1

README.md

@@ -15,8 +15,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4810
 - Cer: 10.8895
+- Loss: 0.4810
 
 ## Model description
 
@@ -54,7 +54,7 @@ The following hyperparameters were used during training:
 | 0.024         | 5.6   | 1000 | 11.4526 | 0.3606          |
 | 0.0038        | 11.2  | 2000 | 10.7559 | 0.4166          |
 | 0.0009        | 16.81 | 3000 | 10.8609 | 0.4669          |
-| 0.0007        | 22.45 | 4000 | 0.4810  | 10.8895         |
+| 0.0007        | 22.45 | 4000 | 10.8895 | 0.4810          |
 
 
 ### Framework versions

model-00001-of-00002.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6faf45d8fc99cd043b044d6ba91fc98b94dae5fed8906ac7aa75ce05c8a00689
+oid sha256:1896d49d5fabd5e27f5604a7b5987cdb9dee8afe2726f8ff7176f98b53abbe73
 size 4992706480

model-00002-of-00002.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9b88b8923023b607f97c2fac93fe72d69b405f2900bf7283df95f051de8ccefc
+oid sha256:bac15ee78311a03c40fa6751ea142b0b6763c9a40cc723282264c934a3391d35
 size 1180663192

runs/Mar12_02-05-53_whisperforlarge/events.out.tfevents.1710209168.whisperforlarge.25542.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:13cff42199eda2d9c4bc8172c6c55ec9b40d61479f81e27b0a7ac621b1b9aada
+size 5872

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6b3eb58e5cfae7e0de18479fee7c5ad263454abbbee137eb5f5eb3b97a5019d8
+oid sha256:e773c9a06427c7e5245069e5969cb4ccf4400fb64ae955129c68ab119e18849f
 size 4667