End of training

README.md

@@ -7,7 +7,6 @@ datasets:
 - common_voice_13_0
 metrics:
 - wer
-- cer
 model-index:
 - name: my_jp_asr_cv13_model
   results:
@@ -23,10 +22,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 0.9
-    - name: Cer
-      type: cer
-      value: 0.2452
+      value: 0.875
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -36,9 +32,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [jonatasgrosman/wav2vec2-large-xlsr-53-japanese](https://huggingface.co/jonatasgrosman/wav2vec2-large-xlsr-53-japanese) on the common_voice_13_0 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.2464
-- Cer: 0.2452
-- Wer: 0.9
+- Loss: 3.1772
+- Cer: 0.3512
+- Wer: 0.875
 
 ## Model description
 
@@ -71,10 +67,10 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Cer    | Wer |
-|:-------------:|:-----:|:----:|:---------------:|:------:|:---:|
-| 0.1017        | 400.0 | 1000 | 2.1846          | 0.25   | 0.8 |
-| 0.0553        | 800.0 | 2000 | 2.2464          | 0.2452 | 0.9 |
+| Training Loss | Epoch | Step | Validation Loss | Cer    | Wer   |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:-----:|
+| 0.16          | 250.0 | 1000 | 3.1440          | 0.3223 | 0.875 |
+| 0.1061        | 500.0 | 2000 | 3.1772          | 0.3512 | 0.875 |
 
 
 ### Framework versions
@@ -82,4 +78,4 @@ The following hyperparameters were used during training:
 - Transformers 4.40.1
 - Pytorch 2.2.1+cu121
 - Datasets 2.19.0
-- Tokenizers 0.19.1
+- Tokenizers 0.19.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:90055ba578f166644b8b2b044d00d52efa438c661b137d7d821a1d78cd2f7071
+oid sha256:613a7d29d4e05bbe510322c113fd4a77a6ed288ff9204bb86690d91e81119072
 size 1271405604