End of training

README.md

@@ -7,9 +7,24 @@ tags:
 - generated_from_trainer
 datasets:
 - PolyAI/minds14
+metrics:
+- wer
 model-index:
 - name: Whisper tiny
-  results: []
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: minds14
+      type: PolyAI/minds14
+      config: en-US
+      split: train
+      args: en-US
+    metrics:
+    - name: Wer
+      type: wer
+      value: 0.3612750885478158
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -19,14 +34,9 @@ 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 minds14 dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 0.5911
-- eval_wer_ortho: 0.3134
-- eval_wer: 0.3158
-- eval_runtime: 29.9977
-- eval_samples_per_second: 3.767
-- eval_steps_per_second: 0.5
-- epoch: 0.5
-- step: 28
+- Loss: 0.6491
+- Wer Ortho: 0.3572
+- Wer: 0.3613
 
 ## Model description
 
@@ -52,9 +62,18 @@ 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: 8
-- training_steps: 225
+- training_steps: 45
 - mixed_precision_training: Native AMP
 
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer Ortho | Wer    |
+|:-------------:|:------:|:----:|:---------------:|:---------:|:------:|
+| 0.0569        | 0.2679 | 15   | 0.6113          | 0.3337    | 0.3294 |
+| 0.0364        | 0.5357 | 30   | 0.6443          | 0.3603    | 0.3554 |
+| 0.0916        | 0.8036 | 45   | 0.6491          | 0.3572    | 0.3613 |
+
+
 ### Framework versions
 
 - Transformers 4.40.2

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:adbee272967c7d3ec1533f6cf37f5e6de7662b8114cdf7f9249530d8527fd7c8
 size 151061672