End of training

README.md

@@ -1,13 +1,13 @@
 ---
-base_model: openai/whisper-base
 language:
 - vi
 license: apache-2.0
-metrics:
-- wer
+base_model: openai/whisper-base
 tags:
 - hf-asr-leaderboard
 - generated_from_trainer
+metrics:
+- wer
 model-index:
 - name: Whisper Base 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-base](https://huggingface.co/openai/whisper-base) on the MnongAudio-v2 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7309
-- Wer: 78.4474
+- Loss: 0.7611
+- Wer: 77.7127
 
 ## Model description
 
@@ -54,15 +54,31 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Wer      |
 |:-------------:|:------:|:----:|:---------------:|:--------:|
-| 1.2709        | 2.0325 | 1000 | 1.3573          | 121.7936 |
-| 0.5929        | 4.0650 | 2000 | 0.9105          | 81.5333  |
-| 0.2907        | 6.0976 | 3000 | 0.7671          | 80.9065  |
-| 0.204         | 8.1301 | 4000 | 0.7309          | 78.4474  |
+| 2.7389        | 0.2915 | 200  | 2.6665          | 373.6628 |
+| 2.2233        | 0.5831 | 400  | 2.2426          | 189.4549 |
+| 1.8164        | 0.8746 | 600  | 1.8990          | 131.6353 |
+| 1.5731        | 1.1662 | 800  | 1.6678          | 124.3760 |
+| 1.4459        | 1.4577 | 1000 | 1.4828          | 95.8227  |
+| 1.3009        | 1.7493 | 1200 | 1.3453          | 96.9689  |
+| 1.0242        | 2.0408 | 1400 | 1.2264          | 89.9898  |
+| 0.9227        | 2.3324 | 1600 | 1.1492          | 80.0815  |
+| 0.9111        | 2.6239 | 1800 | 1.0539          | 83.2399  |
+| 0.8831        | 2.9155 | 2000 | 0.9899          | 88.1814  |
+| 0.5906        | 3.2070 | 2200 | 0.9452          | 84.5899  |
+| 0.54          | 3.4985 | 2400 | 0.9017          | 79.6740  |
+| 0.542         | 3.7901 | 2600 | 0.8713          | 72.2364  |
+| 0.4606        | 4.0816 | 2800 | 0.8320          | 72.9241  |
+| 0.4879        | 4.3732 | 3000 | 0.8172          | 75.4712  |
+| 0.4033        | 4.6647 | 3200 | 0.7940          | 75.9552  |
+| 0.4235        | 4.9563 | 3400 | 0.7737          | 73.2552  |
+| 0.3638        | 5.2478 | 3600 | 0.7704          | 79.2155  |
+| 0.383         | 5.5394 | 3800 | 0.7641          | 77.7382  |
+| 0.3714        | 5.8309 | 4000 | 0.7611          | 77.7127  |
 
 
 ### Framework versions
 
-- Transformers 4.42.3
-- 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

@@ -254,5 +254,5 @@
     "transcribe": 50359,
     "translate": 50358
   },
-  "transformers_version": "4.42.3"
+  "transformers_version": "4.42.4"
 }

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8cf826ea8934b82a1ee567b3d9b29d5c5d6698cf05ac9486590d175f31fdc32c
+oid sha256:dea181c0cab1b813df22b9a18dbe179b44a72acc3428dff0a4926b530d5c9751
 size 290403936