End of training

README.md

@@ -35,7 +35,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Whisper for Igbo 1.0 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 3.3323
+- Loss: 3.5994
 - Wer: 97.1429
 
 ## Model description
@@ -61,18 +61,24 @@ The following hyperparameters were used during training:
 - seed: 42
 - 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: 5
-- training_steps: 20
+- lr_scheduler_warmup_steps: 10
+- training_steps: 100
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Wer      |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 5.0   | 5    | 4.9095          | 702.8571 |
-| No log        | 10.0  | 10   | 3.7510          | 108.5714 |
-| No log        | 15.0  | 15   | 3.3981          | 102.8571 |
-| No log        | 20.0  | 20   | 3.3323          | 97.1429  |
+| No log        | 10.0  | 10   | 3.4658          | 108.5714 |
+| No log        | 20.0  | 20   | 3.5388          | 105.7143 |
+| 0.0225        | 30.0  | 30   | 3.5858          | 97.1429  |
+| 0.0225        | 40.0  | 40   | 3.5922          | 97.1429  |
+| 0.0002        | 50.0  | 50   | 3.5956          | 97.1429  |
+| 0.0002        | 60.0  | 60   | 3.5987          | 97.1429  |
+| 0.0002        | 70.0  | 70   | 3.5995          | 97.1429  |
+| 0.0001        | 80.0  | 80   | 3.6001          | 97.1429  |
+| 0.0001        | 90.0  | 90   | 3.6014          | 97.1429  |
+| 0.0001        | 100.0 | 100  | 3.5994          | 97.1429  |
 
 
 ### Framework versions

model.safetensors

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 size 151061672

runs/Mar20_03-06-48_88d34570d106/events.out.tfevents.1742440027.88d34570d106.240.3

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 version https://git-lfs.github.com/spec/v1
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-size 9318
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+size 10185