End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 0.04095185390149419
+      value: 0.07439024390243902
 ---
 
 <!-- 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: 0.1118
-- Wer Ortho: 0.0387
-- Wer: 0.0410
+- Loss: 0.1233
+- Wer Ortho: 0.0755
+- Wer: 0.0744
 
 ## 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: 4
 - eval_batch_size: 8
 - seed: 42
@@ -68,8 +68,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer    |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|
-| 0.0183        | 3.57  | 100  | 0.1015          | 0.0398    | 0.0426 |
-| 0.0003        | 7.14  | 200  | 0.1118          | 0.0387    | 0.0410 |
+| 0.0097        | 3.57  | 100  | 0.1210          | 0.0615    | 0.0622 |
+| 0.001         | 7.14  | 200  | 0.1233          | 0.0755    | 0.0744 |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ff0fa21e3a232562bee2a6b2ceaab294c4053535f844a0badd6575cc27646c17
+oid sha256:606a954a7374b10bdc271d4c0680e3f4346aa26554f546ea142e913d3e898519
 size 967102729