End of training

README.md

@@ -20,8 +20,8 @@ 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 None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5664
-- Wer: 19.9432
+- Loss: 0.4370
+- Wer: 19.2614
 
 ## Model description
 
@@ -40,7 +40,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.00025
+- learning_rate: 0.0001
 - train_batch_size: 16
 - eval_batch_size: 16
 - seed: 42
@@ -52,13 +52,13 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch  | Step | Validation Loss | Wer     |
-|:-------------:|:------:|:----:|:---------------:|:-------:|
-| 0.8525        | 0.2016 | 50   | 0.7824          | 38.7784 |
-| 0.721         | 0.4032 | 100  | 0.8151          | 26.7898 |
-| 0.6958        | 0.6048 | 150  | 0.7956          | 23.75   |
-| 0.6012        | 0.8065 | 200  | 0.6357          | 21.1932 |
-| 0.5317        | 1.0081 | 250  | 0.5664          | 19.9432 |
+| Training Loss | Epoch  | Step | Validation Loss | Wer      |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| 0.8608        | 0.2016 | 50   | 0.6679          | 106.7614 |
+| 0.5642        | 0.4032 | 100  | 0.5874          | 23.4943  |
+| 0.5031        | 0.6048 | 150  | 0.5071          | 20.8239  |
+| 0.4762        | 0.8065 | 200  | 0.4702          | 20.2841  |
+| 0.4365        | 1.0081 | 250  | 0.4370          | 19.2614  |
 
 
 ### Framework versions

adapter_config.json

@@ -1,6 +1,9 @@
 {
   "alpha_pattern": {},
-  "auto_mapping": null,
+  "auto_mapping": {
+    "base_model_class": "WhisperForConditionalGeneration",
+    "parent_library": "transformers.models.whisper.modeling_whisper"
+  },
   "base_model_name_or_path": "openai/whisper-small",
   "bias": "none",
   "eva_config": null,

adapter_model.safetensors

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training_args.bin

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