training complete

README.md

@@ -1,6 +1,6 @@
 ---
 license: apache-2.0
-base_model: openai/whisper-small
+base_model: openai/whisper-tiny
 tags:
 - generated_from_trainer
 metrics:
@@ -15,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # yoruba_whisper
 
-This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on an unknown dataset.
+This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5389
-- Wer: 56.0826
+- Loss: 0.7232
+- Wer: 75.4654
 
 ## Model description
 
@@ -51,14 +51,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer     |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|
-| 0.5342        | 1.85  | 1000 | 0.5837          | 60.3821 |
-| 0.2361        | 3.7   | 2000 | 0.5227          | 58.5009 |
-| 0.1185        | 5.56  | 3000 | 0.5389          | 56.0826 |
+| 0.8696        | 1.85  | 1000 | 0.8730          | 79.4692 |
+| 0.6117        | 3.7   | 2000 | 0.7474          | 75.6604 |
+| 0.5195        | 5.56  | 3000 | 0.7232          | 75.4654 |
 
 
 ### Framework versions
 
 - Transformers 4.36.2
-- Pytorch 2.1.1+cu121
-- Datasets 2.16.0
+- Pytorch 2.1.0+cu118
+- Datasets 2.16.1
 - Tokenizers 0.15.0

generation_config.json

@@ -1,43 +1,27 @@
 {
   "alignment_heads": [
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+      2,
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       0
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-    [
-      9,
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-    [
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+      3,
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     [
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-      9
+      3,
+      4
     ],
     [
-      10,
+      3,
       5
     ]
   ],

model.safetensors

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 size 151061672

runs/Jan02_00-03-27_0b9fe6b375a0/events.out.tfevents.1704153807.0b9fe6b375a0.577.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 24968
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+size 25322