Fine-tuned Whisper model

README.md

@@ -23,7 +23,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 1.5
+      value: 23.0
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,8 +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 audiofolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0091
-- Wer: 1.5
+- Loss: 0.0000
+- Wer: 23.0
 
 ## Model description
 
@@ -65,14 +65,14 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Wer |
-|:-------------:|:-----:|:----:|:---------------:|:---:|
-| 0.0           | 500.0 | 1000 | 0.0091          | 1.5 |
+| Training Loss | Epoch | Step | Validation Loss | Wer  |
+|:-------------:|:-----:|:----:|:---------------:|:----:|
+| 0.0           | 500.0 | 1000 | 0.0000          | 23.0 |
 
 
 ### Framework versions
 
-- Transformers 4.45.1
+- Transformers 4.45.2
 - Pytorch 2.4.1+cu121
 - Datasets 3.0.1
 - Tokenizers 0.20.0

config.json

@@ -54,7 +54,7 @@
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   "scale_embedding": false,
   "torch_dtype": "float32",
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+  "transformers_version": "4.45.2",
   "use_cache": true,
   "use_weighted_layer_sum": false,
   "vocab_size": 51865

generation_config.json

@@ -258,5 +258,5 @@
     "transcribe": 50359,
     "translate": 50358
   },
-  "transformers_version": "4.45.1"
+  "transformers_version": "4.45.2"
 }

model.safetensors

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runs/Oct09_09-55-22_808a4751e05d/events.out.tfevents.1728467723.808a4751e05d.4476.0

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training_args.bin

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