End of training

README.md

@@ -1,13 +1,13 @@
 ---
-base_model: openai/whisper-small
 language:
 - vi
 license: apache-2.0
-metrics:
-- wer
+base_model: openai/whisper-small
 tags:
 - hf-asr-leaderboard
 - generated_from_trainer
+metrics:
+- wer
 model-index:
 - name: Whisper Small Mnong
   results: []
@@ -20,8 +20,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the MnongAudio-v2 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3403
-- Wer: 36.6442
+- Loss: 0.3726
+- Wer: 37.8757
 
 ## Model description
 
@@ -52,17 +52,33 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch  | Step | Validation Loss | Wer     |
-|:-------------:|:------:|:----:|:---------------:|:-------:|
-| 0.6364        | 2.0325 | 1000 | 0.7668          | 85.4870 |
-| 0.1175        | 4.0650 | 2000 | 0.4158          | 45.9016 |
-| 0.0182        | 6.0976 | 3000 | 0.3495          | 37.2228 |
-| 0.0056        | 8.1301 | 4000 | 0.3403          | 36.6442 |
+| Training Loss | Epoch  | Step | Validation Loss | Wer      |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| 3.2302        | 0.2915 | 200  | 3.1116          | 239.5568 |
+| 1.7352        | 0.5831 | 400  | 1.7781          | 96.5359  |
+| 1.2762        | 0.8746 | 600  | 1.3745          | 100.9170 |
+| 0.9605        | 1.1662 | 800  | 1.1114          | 89.1747  |
+| 0.8392        | 1.4577 | 1000 | 0.9010          | 81.3551  |
+| 0.6779        | 1.7493 | 1200 | 0.7770          | 64.3912  |
+| 0.3956        | 2.0408 | 1400 | 0.6635          | 63.0922  |
+| 0.35          | 2.3324 | 1600 | 0.6001          | 55.6037  |
+| 0.3225        | 2.6239 | 1800 | 0.5402          | 59.2970  |
+| 0.326         | 2.9155 | 2000 | 0.4830          | 48.0387  |
+| 0.143         | 3.2070 | 2200 | 0.4697          | 41.7983  |
+| 0.119         | 3.4985 | 2400 | 0.4404          | 41.5181  |
+| 0.1123        | 3.7901 | 2600 | 0.4205          | 44.4727  |
+| 0.0709        | 4.0816 | 2800 | 0.4009          | 38.9710  |
+| 0.0764        | 4.3732 | 3000 | 0.3959          | 39.8370  |
+| 0.0587        | 4.6647 | 3200 | 0.3800          | 35.8889  |
+| 0.0627        | 4.9563 | 3400 | 0.3771          | 37.6465  |
+| 0.0326        | 5.2478 | 3600 | 0.3754          | 35.3795  |
+| 0.0355        | 5.5394 | 3800 | 0.3751          | 39.4549  |
+| 0.0331        | 5.8309 | 4000 | 0.3726          | 37.8757  |
 
 
 ### Framework versions
 
-- Transformers 4.41.2
-- Pytorch 2.3.1+cu121
+- Transformers 4.42.4
+- Pytorch 2.4.0+cu121
 - Datasets 2.20.0
 - Tokenizers 0.19.1

generation_config.json

@@ -262,5 +262,5 @@
     "transcribe": 50359,
     "translate": 50358
   },
-  "transformers_version": "4.41.2"
+  "transformers_version": "4.42.4"
 }

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d2477683565b9c3c823a37698d882321017d095c4f146ee069ee95916cea45f7
+oid sha256:b3fa4c6a51b7687ff24e82ad12828298a9436c027dba6f130d940003654f098a
 size 966995080