Model save

README.md

@@ -1,42 +1,39 @@
 ---
-language:
-- te
 license: apache-2.0
 base_model: openai/whisper-base
 tags:
-- whisper-event
 - generated_from_trainer
 datasets:
-- mozilla-foundation/common_voice_16_0
+- fleurs
 metrics:
 - wer
 model-index:
-- name: Breeze DSW Telugu - base
+- name: breeze-listen-dsw-base-te
   results:
   - task:
       name: Automatic Speech Recognition
       type: automatic-speech-recognition
     dataset:
-      name: mozilla-foundation/common_voice_16_0 te
-      type: mozilla-foundation/common_voice_16_0
-      config: te
+      name: fleurs
+      type: fleurs
+      config: te_in
       split: test
-      args: te
+      args: te_in
     metrics:
     - name: Wer
       type: wer
-      value: 85.71428571428571
+      value: 37.9026667282895
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# Breeze DSW Telugu - base
+# breeze-listen-dsw-base-te
 
-This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the mozilla-foundation/common_voice_16_0 te dataset.
+This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the fleurs dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.1055
-- Wer: 85.7143
+- Loss: 0.5269
+- Wer: 37.9027
 
 ## Model description
 
@@ -68,9 +65,18 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Wer    |
-|:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.0008        | 99.0  | 200  | 0.0546          | 3.3333 |
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.2937        | 2.03  | 200  | 0.3237          | 42.5614 |
+| 0.1611        | 5.02  | 400  | 0.2756          | 38.9148 |
+| 0.0889        | 8.01  | 600  | 0.2930          | 38.1106 |
+| 0.0456        | 11.0  | 800  | 0.3372          | 37.4544 |
+| 0.0229        | 13.03 | 1000 | 0.3982          | 37.9258 |
+| 0.0103        | 16.02 | 1200 | 0.4473          | 38.2678 |
+| 0.0042        | 19.02 | 1400 | 0.4836          | 37.8980 |
+| 0.0025        | 22.01 | 1600 | 0.5083          | 37.7317 |
+| 0.002         | 24.04 | 1800 | 0.5220          | 37.8010 |
+| 0.0018        | 27.03 | 2000 | 0.5269          | 37.9027 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f34849de2a95bfecc51106a0090196874a7a2ba49a23c3391c76e69d2ee6ba6e
+oid sha256:8dbf610d15abb79b585d71a5a4689c7db4302ece318a5e0426c04c0ce9e560a6
 size 198325672

runs/Jan21_18-19-42_knight/events.out.tfevents.1705857598.knight.67737.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:37e551ef10d073caf6cbe4f25ad13033eabe487a87d9c341680aab366842c8b5
-size 19646
+oid sha256:a9b42f34473ba0e5b01913770c0ba8618141cb62f8e94fa599549416fac1ef10
+size 21574