End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 0.6605667060212514
+      value: 0.40436835891381345
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,9 +32,9 @@ 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 PolyAI/minds14 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7343
-- Wer Ortho: 0.6730
-- Wer: 0.6606
+- Loss: 0.5951
+- Wer Ortho: 0.4781
+- Wer: 0.4044
 
 ## Model description
 
@@ -53,7 +53,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 5e-06
+- learning_rate: 1e-06
 - train_batch_size: 16
 - eval_batch_size: 16
 - seed: 42
@@ -67,12 +67,18 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer    |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|
-| 0.4699        | 3.57  | 100  | 0.6164          | 0.4695    | 0.4067 |
-| 0.1623        | 7.14  | 200  | 0.5796          | 0.4275    | 0.3796 |
-| 0.0399        | 10.71 | 300  | 0.6172          | 0.4528    | 0.4168 |
-| 0.0082        | 14.29 | 400  | 0.6808          | 0.5262    | 0.5083 |
-| 0.0027        | 17.86 | 500  | 0.7123          | 0.6422    | 0.6275 |
-| 0.0016        | 21.43 | 600  | 0.7343          | 0.6730    | 0.6606 |
+| 2.605         | 1.79  | 50   | 2.3450          | 0.5355    | 0.3967 |
+| 1.67          | 3.57  | 100  | 1.4800          | 0.5355    | 0.4126 |
+| 0.8205        | 5.36  | 150  | 0.8745          | 0.5836    | 0.4787 |
+| 0.5984        | 7.14  | 200  | 0.7396          | 0.4923    | 0.4079 |
+| 0.4993        | 8.93  | 250  | 0.6831          | 0.4769    | 0.3996 |
+| 0.4134        | 10.71 | 300  | 0.6510          | 0.4830    | 0.4032 |
+| 0.384         | 12.5  | 350  | 0.6307          | 0.4738    | 0.3961 |
+| 0.3286        | 14.29 | 400  | 0.6162          | 0.4806    | 0.4050 |
+| 0.3188        | 16.07 | 450  | 0.6062          | 0.4800    | 0.4050 |
+| 0.2751        | 17.86 | 500  | 0.6010          | 0.4843    | 0.4097 |
+| 0.2568        | 19.64 | 550  | 0.5970          | 0.4750    | 0.4026 |
+| 0.237         | 21.43 | 600  | 0.5951          | 0.4781    | 0.4044 |
 
 
 ### Framework versions

model.safetensors

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 version https://git-lfs.github.com/spec/v1
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+oid sha256:f204ba7cd0037122ded94c3e9f7374d05486b030abbac1d26978c3b49afe98e3
 size 151061672

runs/Feb04_21-29-16_MSI/events.out.tfevents.1707082161.MSI

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:06224ccb78732794e8704e4d1751c86770e82c0cd7fcb003f3d8c1657f5c58ac
-size 13948
+oid sha256:dce3a07385ab3de58ecb45ab3947aff741e02c1d905b8872c002a0944a130c7d
+size 14673