Model save

README.md

@@ -1,42 +1,39 @@
 ---
-language:
-- id
 license: apache-2.0
 base_model: openai/whisper-tiny
 tags:
-- whisper-event
 - generated_from_trainer
 datasets:
-- mozilla-foundation/common_voice_16_0
+- common_voice_16_0
 metrics:
 - wer
 model-index:
-- name: Breeze DSW Indonesian - tiny
+- name: breeze-dsw-tiny-id
   results:
   - task:
       name: Automatic Speech Recognition
       type: automatic-speech-recognition
     dataset:
-      name: mozilla-foundation/common_voice_16_0 id
-      type: mozilla-foundation/common_voice_16_0
+      name: common_voice_16_0
+      type: common_voice_16_0
       config: id
       split: test
       args: id
     metrics:
     - name: Wer
       type: wer
-      value: 45.243352654338025
+      value: 43.95528567485509
 ---
 
 <!-- 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 Indonesian - tiny
+# breeze-dsw-tiny-id
 
-This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the mozilla-foundation/common_voice_16_0 id dataset.
+This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the common_voice_16_0 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7109
-- Wer: 45.2434
+- Loss: 0.7134
+- Wer: 43.9553
 
 ## Model description
 
@@ -63,18 +60,23 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
-- training_steps: 2000
+- training_steps: 1000
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Wer     |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|
-| 0.99          | 0.1   | 100  | 0.8486          | 54.1724 |
-| 0.7896        | 1.04  | 200  | 0.7578          | 48.3393 |
-| 0.4164        | 1.14  | 300  | 0.7388          | 49.2594 |
-| 0.5456        | 2.09  | 400  | 0.7178          | 46.1266 |
-| 0.476         | 3.03  | 500  | 0.7109          | 45.2434 |
+| 0.99          | 0.1   | 100  | 0.8486          | 54.2460 |
+| 0.7896        | 1.04  | 200  | 0.7578          | 48.3899 |
+| 0.4164        | 1.14  | 300  | 0.7388          | 49.3284 |
+| 0.5456        | 2.09  | 400  | 0.7178          | 45.7954 |
+| 0.4761        | 3.03  | 500  | 0.7109          | 45.2158 |
+| 0.2674        | 3.13  | 600  | 0.7007          | 44.8431 |
+| 0.3628        | 4.08  | 700  | 0.7026          | 44.2497 |
+| 0.2565        | 5.02  | 800  | 0.7085          | 44.5073 |
+| 0.2147        | 5.12  | 900  | 0.7090          | 43.4447 |
+| 0.28          | 6.06  | 1000 | 0.7134          | 43.9553 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:866a50c62a2d25a9d3967e6c98de69b271b64fb10ea5d8af3ad5b57da3ab0b1c
+oid sha256:408bb502073b08f9c00125fa98ebfb211606c83ef61498fcaebe0ca6e100586f
 size 115372576

runs/Jan13_12-02-57_knight/events.out.tfevents.1705143823.knight.21364.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c97103e5f7b2169f24bf4601e6c92d231614bf52924a1b1ec009ef568a01d556
-size 14877
+oid sha256:16f0659700d331e4b388c7f07a95693eeb132691fb7d5da5ae6abe0be816d686
+size 15231