End of training

README.md

@@ -17,13 +17,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-base.en](https://huggingface.co/openai/whisper-base.en) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 6.9927
-- Cer: 63.0495
-- Wer: 127.1523
+- Loss: 4.7781
+- Cer: 64.7190
+- Wer: 119.5364
 - Ser: 100.0
-- Cer Clean: 4.3406
-- Wer Clean: 7.2848
-- Ser Clean: 9.6491
+- Cer Clean: 3.5058
+- Wer Clean: 6.2914
+- Ser Clean: 7.0175
 
 ## Model description
 
@@ -42,25 +42,30 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 1e-08
+- learning_rate: 5e-08
 - train_batch_size: 16
 - eval_batch_size: 64
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- lr_scheduler_warmup_steps: 5
-- training_steps: 100
+- lr_scheduler_warmup_steps: 10
+- training_steps: 1000
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Cer     | Wer      | Ser   | Cer Clean | Wer Clean | Ser Clean |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|:--------:|:-----:|:---------:|:---------:|:---------:|
-| 7.8089        | 0.11  | 20   | 6.9970          | 63.0495 | 127.1523 | 100.0 | 4.3406    | 7.2848    | 9.6491    |
-| 7.653         | 0.21  | 40   | 6.9963          | 63.3834 | 127.4834 | 100.0 | 4.6745    | 7.6159    | 10.5263   |
-| 7.6425        | 0.32  | 60   | 6.9951          | 63.3834 | 127.4834 | 100.0 | 4.6745    | 7.6159    | 10.5263   |
-| 7.6689        | 0.43  | 80   | 6.9952          | 63.0495 | 127.1523 | 100.0 | 4.3406    | 7.2848    | 9.6491    |
-| 7.6972        | 0.53  | 100  | 6.9927          | 63.0495 | 127.1523 | 100.0 | 4.3406    | 7.2848    | 9.6491    |
+| 7.5369        | 0.53  | 100  | 6.7220          | 63.7730 | 128.1457 | 100.0 | 4.1180    | 6.9536    | 8.7719    |
+| 7.0363        | 1.06  | 200  | 6.1829          | 65.0529 | 123.8411 | 100.0 | 3.2832    | 5.6291    | 7.0175    |
+| 6.417         | 1.6   | 300  | 5.7959          | 64.1625 | 121.1921 | 100.0 | 3.2832    | 5.6291    | 7.0175    |
+| 6.0146        | 2.13  | 400  | 5.4587          | 64.7746 | 121.8543 | 100.0 | 3.6728    | 6.6225    | 7.8947    |
+| 5.6687        | 2.66  | 500  | 5.2287          | 65.3311 | 120.5298 | 100.0 | 3.7284    | 6.6225    | 7.8947    |
+| 5.3902        | 3.19  | 600  | 5.0691          | 65.1085 | 121.1921 | 100.0 | 3.5615    | 6.2914    | 7.0175    |
+| 5.2512        | 3.72  | 700  | 4.9358          | 64.7190 | 120.1987 | 100.0 | 3.2832    | 5.9603    | 6.1404    |
+| 5.1258        | 4.26  | 800  | 4.8451          | 64.7190 | 119.5364 | 100.0 | 3.5058    | 6.2914    | 7.0175    |
+| 5.0472        | 4.79  | 900  | 4.7950          | 64.7190 | 119.5364 | 100.0 | 3.5058    | 6.2914    | 7.0175    |
+| 4.9871        | 5.32  | 1000 | 4.7781          | 64.7190 | 119.5364 | 100.0 | 3.5058    | 6.2914    | 7.0175    |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:eccc9efaa43571aea1a3de53158c4f33902f1fcc21b957f0bffb0b2649a484cc
 size 290401888