End of training

README.md

@@ -6,7 +6,7 @@ base_model: openai/whisper-small
 tags:
 - generated_from_trainer
 datasets:
-- mozilla-foundation/common_voice_17_0
+- google/fleurs
 metrics:
 - wer
 model-index:
@@ -16,15 +16,15 @@ model-index:
       name: Automatic Speech Recognition
       type: automatic-speech-recognition
     dataset:
-      name: Common Voice 17
-      type: mozilla-foundation/common_voice_17_0
-      config: ig
+      name: google/fleurs-jboat
+      type: google/fleurs
+      config: ig_ng
       split: test
-      args: ig
+      args: ig_ng
     metrics:
     - name: Wer
       type: wer
-      value: 286.11111111111114
+      value: 44.01272438082254
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,11 +32,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 # Whisper Small Igbo
 
-This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 17 dataset.
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the google/fleurs-jboat dataset.
 It achieves the following results on the evaluation set:
-- Loss: 8.1870
-- Wer Ortho: 294.2857
-- Wer: 286.1111
+- Loss: 1.0619
+- Wer Ortho: 47.8937
+- Wer: 44.0127
 
 ## Model description
 
@@ -67,16 +67,16 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch  | Step | Validation Loss | Wer Ortho | Wer      |
-|:-------------:|:------:|:----:|:---------------:|:---------:|:--------:|
-| 0.0           | 500.0  | 500  | 3.2906          | 97.1429   | 88.8889  |
-| 0.0           | 1000.0 | 1000 | 3.6536          | 91.4286   | 86.1111  |
-| 0.0           | 1500.0 | 1500 | 4.3865          | 94.2857   | 91.6667  |
-| 0.0           | 2000.0 | 2000 | 5.4348          | 102.8571  | 100.0    |
-| 0.0           | 2500.0 | 2500 | 5.9169          | 94.2857   | 94.4444  |
-| 0.0           | 3000.0 | 3000 | 6.6346          | 288.5714  | 277.7778 |
-| 0.0           | 3500.0 | 3500 | 7.4267          | 297.1429  | 288.8889 |
-| 0.0           | 4000.0 | 4000 | 8.1870          | 294.2857  | 286.1111 |
+| Training Loss | Epoch   | Step | Validation Loss | Wer Ortho | Wer     |
+|:-------------:|:-------:|:----:|:---------------:|:---------:|:-------:|
+| 0.3161        | 2.6455  | 500  | 0.7413          | 50.2340   | 46.1448 |
+| 0.0421        | 5.2910  | 1000 | 0.8582          | 49.0269   | 44.8004 |
+| 0.0168        | 7.9365  | 1500 | 0.9246          | 47.6351   | 43.5204 |
+| 0.0075        | 10.5820 | 2000 | 0.9912          | 47.7541   | 43.3121 |
+| 0.0051        | 13.2275 | 2500 | 1.0277          | 47.7377   | 43.3954 |
+| 0.0067        | 15.8730 | 3000 | 1.0354          | 47.6638   | 43.1644 |
+| 0.0041        | 18.5185 | 3500 | 1.0722          | 48.3864   | 44.1112 |
+| 0.0028        | 21.1640 | 4000 | 1.0619          | 47.8937   | 44.0127 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6f3817cc13930543f1e4143e5d5bdbc8360651865db758cede1958dd42abf8bf
+oid sha256:3c4031e45200ae2dff362690b3822ed05cc2524464dd31a4ee8a726e3a4844e3
 size 966995080