Model save

README.md

@@ -4,26 +4,11 @@ license: apache-2.0
 base_model: openai/whisper-small
 tags:
 - generated_from_trainer
-datasets:
-- common_voice_17_0
 metrics:
 - wer
 model-index:
 - name: openai/whisper-small
-  results:
-  - task:
-      name: Automatic Speech Recognition
-      type: automatic-speech-recognition
-    dataset:
-      name: common_voice_17_0
-      type: common_voice_17_0
-      config: eu
-      split: test
-      args: eu
-    metrics:
-    - name: Wer
-      type: wer
-      value: 11.838103265051853
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,10 +16,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # openai/whisper-small
 
-This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the common_voice_17_0 dataset.
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1845
-- Wer: 11.8381
+- Loss: 0.1836
+- Wer: 10.8862
 
 ## Model description
 
@@ -60,23 +45,26 @@ The following hyperparameters were used during training:
 - optimizer: Use OptimizerNames.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
-- training_steps: 5000
+- training_steps: 8000
 - mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch  | Step | Validation Loss | Wer     |
-|:-------------:|:------:|:----:|:---------------:|:-------:|
-| 0.2458        | 1.0296 | 1000 | 0.2480          | 18.0723 |
-| 0.1099        | 2.0592 | 2000 | 0.1976          | 13.6355 |
-| 0.0403        | 3.0888 | 3000 | 0.2002          | 12.7249 |
-| 0.0211        | 4.1184 | 4000 | 0.2101          | 12.4327 |
-| 0.0609        | 5.148  | 5000 | 0.1845          | 11.8381 |
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.3998        | 0.125 | 1000 | 0.3651          | 21.5014 |
+| 0.1975        | 0.25  | 2000 | 0.2918          | 15.8736 |
+| 0.1433        | 0.375 | 3000 | 0.2721          | 13.9011 |
+| 0.1925        | 0.5   | 4000 | 0.2565          | 12.7372 |
+| 0.0818        | 0.625 | 5000 | 0.2563          | 11.9426 |
+| 0.1038        | 0.75  | 6000 | 0.2390          | 11.0732 |
+| 0.1282        | 0.875 | 7000 | 0.2344          | 11.3910 |
+| 0.0959        | 1.0   | 8000 | 0.1836          | 10.8862 |
 
 
 ### Framework versions
 
-- Transformers 4.46.0.dev0
-- Pytorch 2.4.1+cu121
-- Datasets 3.0.2.dev0
-- Tokenizers 0.20.0
+- Transformers 4.49.0.dev0
+- Pytorch 2.6.0+cu124
+- Datasets 3.2.1.dev0
+- Tokenizers 0.21.0

generation_config.json

@@ -260,5 +260,5 @@
     "transcribe": 50359,
     "translate": 50358
   },
-  "transformers_version": "4.46.0.dev0"
+  "transformers_version": "4.49.0.dev0"
 }

model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:99666772d8578b57ba2fdf4ffe53a6dfb13412e035901cc6d0044c4f04a68625
 size 966995080

wandb/run-20250212_152709-lejyafmi/run-lejyafmi.wandb

@@ -1,3 +1,3 @@
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+size 4620288