End of training

README.md

@@ -1,4 +1,5 @@
 ---
+library_name: transformers
 license: apache-2.0
 base_model: openai/whisper-small
 tags:
@@ -22,7 +23,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 35.00088651273169
+      value: 35.497333642476235
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +33,8 @@ 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 common_voice_17_0 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.3028
-- Wer: 35.0009
+- Loss: 0.9258
+- Wer: 35.4973
 
 ## Model description
 
@@ -59,23 +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: 500000
+- training_steps: 100000
 - mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch    | Step   | Validation Loss | Wer     |
-|:-------------:|:--------:|:------:|:---------------:|:-------:|
-| 0.0053        | 40.5515  | 100000 | 0.8333          | 36.2993 |
-| 0.0011        | 81.1030  | 200000 | 1.0030          | 35.9242 |
-| 0.0008        | 121.6545 | 300000 | 1.0865          | 35.6501 |
-| 0.0           | 162.2060 | 400000 | 1.1741          | 35.4823 |
-| 0.0           | 202.7575 | 500000 | 1.3028          | 35.0009 |
+| Training Loss | Epoch   | Step   | Validation Loss | Wer     |
+|:-------------:|:-------:|:------:|:---------------:|:-------:|
+| 0.0193        | 8.1103  | 20000  | 0.5349          | 36.7125 |
+| 0.0046        | 16.2206 | 40000  | 0.6839          | 36.0033 |
+| 0.0018        | 24.3309 | 60000  | 0.7936          | 36.2543 |
+| 0.0003        | 32.4412 | 80000  | 0.8729          | 35.9406 |
+| 0.0           | 40.5515 | 100000 | 0.9258          | 35.4973 |
 
 
 ### Framework versions
 
-- Transformers 4.43.3
-- Pytorch 2.4.0+cu121
-- Datasets 2.20.0
-- Tokenizers 0.19.1
+- Transformers 4.45.1
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.1
+- Tokenizers 0.20.0

generation_config.json

@@ -241,8 +241,6 @@
     49870,
     50254,
     50258,
-    50358,
-    50359,
     50360,
     50361,
     50362
@@ -252,5 +250,5 @@
     "transcribe": 50359,
     "translate": 50358
   },
-  "transformers_version": "4.43.3"
+  "transformers_version": "4.45.1"
 }