End of training

README.md

@@ -7,24 +7,9 @@ tags:
 - generated_from_trainer
 datasets:
 - google/fleurs
-metrics:
-- wer
 model-index:
 - name: Whisper Small Igbo
-  results:
-  - task:
-      name: Automatic Speech Recognition
-      type: automatic-speech-recognition
-    dataset:
-      name: google/fleurs-jboat
-      type: google/fleurs
-      config: ig_ng
-      split: test
-      args: ig_ng
-    metrics:
-    - name: Wer
-      type: wer
-      value: 44.01272438082254
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -34,9 +19,14 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the google/fleurs-jboat dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.0619
-- Wer Ortho: 47.8937
-- Wer: 44.0127
+- eval_loss: 1.1403
+- eval_wer_ortho: 47.1588
+- eval_wer: 42.9448
+- eval_runtime: 397.589
+- eval_samples_per_second: 2.437
+- eval_steps_per_second: 0.153
+- epoch: 37.0370
+- step: 7000
 
 ## Model description
 
@@ -62,23 +52,9 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: constant_with_warmup
 - lr_scheduler_warmup_steps: 50
-- training_steps: 4000
+- training_steps: 8000
 - mixed_precision_training: Native AMP
 
-### Training results
-
-| Training Loss | Epoch   | Step | Validation Loss | Wer Ortho | Wer     |
-|:-------------:|:-------:|:----:|:---------------:|:---------:|:-------:|
-| 0.3161        | 2.6455  | 500  | 0.7413          | 50.2340   | 46.1448 |
-| 0.0421        | 5.2910  | 1000 | 0.8582          | 49.0269   | 44.8004 |
-| 0.0168        | 7.9365  | 1500 | 0.9246          | 47.6351   | 43.5204 |
-| 0.0075        | 10.5820 | 2000 | 0.9912          | 47.7541   | 43.3121 |
-| 0.0051        | 13.2275 | 2500 | 1.0277          | 47.7377   | 43.3954 |
-| 0.0067        | 15.8730 | 3000 | 1.0354          | 47.6638   | 43.1644 |
-| 0.0041        | 18.5185 | 3500 | 1.0722          | 48.3864   | 44.1112 |
-| 0.0028        | 21.1640 | 4000 | 1.0619          | 47.8937   | 44.0127 |
-
-
 ### Framework versions
 
 - Transformers 4.42.4

model.safetensors

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