emonidi/whisper-order-finetuned-bg

README.md

@@ -1,6 +1,6 @@
 ---
 license: apache-2.0
-base_model: shripadbhat/whisper-medium-bg
+base_model: emonidi/whisper-order-finetuned-bg
 tags:
 - generated_from_trainer
 metrics:
@@ -15,9 +15,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # whisper-order-finetuned-bg
 
-This model is a fine-tuned version of [shripadbhat/whisper-medium-bg](https://huggingface.co/shripadbhat/whisper-medium-bg) on the None dataset.
+This model is a fine-tuned version of [emonidi/whisper-order-finetuned-bg](https://huggingface.co/emonidi/whisper-order-finetuned-bg) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0009
+- Loss: 0.0001
 - Wer: 0.0
 
 ## Model description
@@ -50,14 +50,14 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Wer     |
-|:-------------:|:-----:|:----:|:---------------:|:-------:|
-| 0.2606        | 4.0   | 5    | 0.2536          | 73.1707 |
-| 0.0031        | 7.0   | 10   | 0.0079          | 0.0     |
-| 0.0009        | 10.67 | 15   | 0.0025          | 0.0     |
-| 0.0007        | 14.0  | 20   | 0.0014          | 0.0     |
-| 0.0           | 17.07 | 25   | 0.0010          | 0.0     |
-| 0.0004        | 21.0  | 30   | 0.0009          | 0.0     |
+| Training Loss | Epoch | Step | Validation Loss | Wer |
+|:-------------:|:-----:|:----:|:---------------:|:---:|
+| 0.0011        | 4.0   | 5    | 0.0016          | 0.0 |
+| 0.0001        | 7.38  | 10   | 0.0003          | 0.0 |
+| 0.0001        | 11.0  | 15   | 0.0002          | 0.0 |
+| 0.0           | 14.77 | 20   | 0.0001          | 0.0 |
+| 0.0           | 18.0  | 25   | 0.0001          | 0.0 |
+| 0.0           | 22.0  | 30   | 0.0001          | 0.0 |
 
 
 ### Framework versions

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "shripadbhat/whisper-medium-bg",
+  "_name_or_path": "emonidi/whisper-order-finetuned-bg",
   "activation_dropout": 0.0,
   "activation_function": "gelu",
   "apply_spec_augment": false,

model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:8b970de2325acb509e4f9a5ed8ec27d10cb4936dded6c7f0fc32495a3744490f
 size 3055544304

runs/Dec20_13-24-54_6c11541ecfa0/events.out.tfevents.1703078705.6c11541ecfa0.1306.0

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+size 11918

training_args.bin

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+oid sha256:5849ef0c13bc9b97a22395fdee40a8a5d3f53a70f698295f3a89ee6c80e75ea5
 size 4728