End of training

README.md

@@ -1,30 +1,14 @@
 ---
+library_name: transformers
 language:
 - vi
 license: apache-2.0
 base_model: openai/whisper-small
 tags:
 - generated_from_trainer
-datasets:
-- common_voice_17_0
-metrics:
-- wer
 model-index:
 - name: Whisper small vi - Ox
-  results:
-  - task:
-      name: Automatic Speech Recognition
-      type: automatic-speech-recognition
-    dataset:
-      name: common_voice_17_0
-      type: common_voice_17_0
-      config: vi
-      split: test
-      args: vi
-    metrics:
-    - name: Wer
-      type: wer
-      value: 31.26665341022072
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,10 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # Whisper small vi - Ox
 
-This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the common_voice_17_0 dataset.
-It achieves the following results on the evaluation set:
-- Loss: 1.0138
-- Wer: 31.2667
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on an unknown dataset.
 
 ## Model description
 
@@ -58,7 +39,7 @@ The following hyperparameters were used during training:
 - train_batch_size: 16
 - eval_batch_size: 8
 - seed: 42
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
 - num_epochs: 3.0
@@ -66,28 +47,11 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step  | Validation Loss | Wer     |
-|:-------------:|:-----:|:-----:|:---------------:|:-------:|
-| 0.2276        | 0.08  | 1000  | 0.7506          | 29.8509 |
-| 0.1768        | 0.16  | 2000  | 0.8114          | 31.2189 |
-| 0.1828        | 0.24  | 3000  | 0.8569          | 31.2985 |
-| 0.1632        | 0.32  | 4000  | 0.8523          | 31.9268 |
-| 0.1566        | 0.4   | 5000  | 0.9062          | 31.9149 |
-| 0.1532        | 0.48  | 6000  | 0.8914          | 31.4496 |
-| 0.1593        | 0.56  | 7000  | 0.9342          | 31.9825 |
-| 0.1411        | 0.64  | 8000  | 0.9412          | 32.0302 |
-| 0.1531        | 0.72  | 9000  | 0.9456          | 31.6206 |
-| 0.1246        | 0.8   | 10000 | 0.9452          | 31.7240 |
-| 0.1336        | 0.88  | 11000 | 0.9622          | 31.1195 |
-| 0.1392        | 0.96  | 12000 | 0.9638          | 31.3939 |
-| 0.0725        | 1.04  | 13000 | 1.0032          | 31.5649 |
-| 0.0838        | 1.12  | 14000 | 1.0346          | 31.7916 |
-| 0.0766        | 1.2   | 15000 | 1.0138          | 31.2667 |
 
 
 ### Framework versions
 
-- Transformers 4.39.3
-- Pytorch 2.4.1
-- Datasets 3.0.1
-- Tokenizers 0.15.2
+- Transformers 4.47.0.dev0
+- Pytorch 2.5.1+cu121
+- Datasets 3.1.0
+- Tokenizers 0.20.3

generation_config.json

@@ -156,7 +156,7 @@
   "no_timestamps_token_id": 50363,
   "pad_token_id": 50257,
   "prev_sot_token_id": 50361,
-  "return_timestamps": false,
+  "return_timestamps": true,
   "suppress_tokens": [
     1,
     2,
@@ -252,5 +252,5 @@
     "transcribe": 50359,
     "translate": 50358
   },
-  "transformers_version": "4.39.3"
+  "transformers_version": "4.47.0.dev0"
 }