End of training

README.md

@@ -9,17 +9,33 @@ tags:
 - generated_from_trainer
 datasets:
 - Chinese_english
+metrics:
+- wer
 model-index:
-- name: Whisper tiny Spanish
-  results: []
+- name: Whisper tiny Chinese
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Chinese English
+      type: Chinese_english
+      args: 'config: default, split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 17.013502779984112
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# Whisper tiny Spanish
+# Whisper tiny Chinese
 
 This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Chinese English dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4611
+- Wer: 17.0135
 
 ## Model description
 
@@ -47,6 +63,14 @@ The following hyperparameters were used during training:
 - lr_scheduler_warmup_steps: 500
 - training_steps: 2000
 
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer     |
+|:-------------:|:------:|:----:|:---------------:|:-------:|
+| 0.0018        | 1.6667 | 1000 | 0.4438          | 16.5210 |
+| 0.0001        | 3.3333 | 2000 | 0.4611          | 17.0135 |
+
+
 ### Framework versions
 
 - Transformers 4.50.0.dev0

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:fa8aabb56a5e547e20f8772e73def2b588c6414238bf8bc7a20b60950dde84c2
 size 151061672