End of training

README.md

@@ -8,9 +8,24 @@ tags:
 - generated_from_trainer
 datasets:
 - eldad-akhaumere/common_voice_16_0_
+metrics:
+- bleu
 model-index:
 - name: Whisper Small_Ha Bleu - Eldad Akhaumere
-  results: []
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 16.0_
+      type: eldad-akhaumere/common_voice_16_0_
+      config: ha
+      split: None
+      args: 'config: ha, split: test'
+    metrics:
+    - name: Bleu
+      type: bleu
+      value: 11.764900582287524
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -19,6 +34,9 @@ should probably proofread and complete it, then remove this comment. -->
 # Whisper Small_Ha Bleu - Eldad Akhaumere
 
 This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 16.0_ dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.8567
+- Bleu: 11.7649
 
 ## Model description
 
@@ -49,6 +67,11 @@ The following hyperparameters were used during training:
 
 ### Training results
 
+| Training Loss | Epoch  | Step | Validation Loss | Bleu    |
+|:-------------:|:------:|:----:|:---------------:|:-------:|
+| 0.4391        | 0.3185 | 50   | 1.9226          | 7.4601  |
+| 0.3422        | 0.6369 | 100  | 1.9320          | 9.7294  |
+| 0.3862        | 0.9554 | 150  | 1.8567          | 11.7649 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:9525f3148f020a6b85cdb5a1d129527ff69bc41bef54e1c19acd1d4930810c7a
 size 966995080