End of training

README.md

@@ -1,20 +1,20 @@
 ---
+library_name: transformers
+license: cc-by-nc-4.0
 base_model: facebook/mms-1b-all
+tags:
+- generated_from_trainer
 datasets:
 - common_voice_17_0
-library_name: transformers
-license: cc-by-nc-4.0
 metrics:
 - wer
 - bleu
-tags:
-- generated_from_trainer
 model-index:
 - name: wav2vec2-mms-1b-CV17.0-training_set_variations
   results:
   - task:
-      type: automatic-speech-recognition
       name: Automatic Speech Recognition
+      type: automatic-speech-recognition
     dataset:
       name: common_voice_17_0
       type: common_voice_17_0
@@ -22,12 +22,12 @@ model-index:
       split: validation[:5%]+validation[20%:25%]+validation[60%:65%]+validation[90%:]
       args: ta
     metrics:
-    - type: wer
-      value: 0.5119016249451032
-      name: Wer
-    - type: bleu
-      value: 0.24178033350654143
-      name: Bleu
+    - name: Wer
+      type: wer
+      value: 1.0594668189204621
+    - name: Bleu
+      type: bleu
+      value: 0.0
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -37,10 +37,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [facebook/mms-1b-all](https://huggingface.co/facebook/mms-1b-all) on the common_voice_17_0 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4958
-- Wer: 0.5119
-- Cer: 0.0973
-- Bleu: 0.2418
+- Loss: 8.6744
+- Wer: 1.0595
+- Cer: 0.7507
+- Bleu: 0.0
 
 ## Model description
 
@@ -73,14 +73,14 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Wer    | Cer    | Bleu   |
-|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|
-| 6.9079        | 100.0 | 100  | 0.3463          | 0.4393 | 0.0786 | 0.3177 |
-| 0.0658        | 200.0 | 200  | 0.3912          | 0.4538 | 0.0839 | 0.3158 |
-| 0.0346        | 300.0 | 300  | 0.4707          | 0.5046 | 0.0947 | 0.2477 |
-| 0.0265        | 400.0 | 400  | 0.4906          | 0.5137 | 0.0967 | 0.2393 |
-| 0.0184        | 500.0 | 500  | 0.5407          | 0.5240 | 0.1005 | 0.2301 |
-| 0.0158        | 600.0 | 600  | 0.4958          | 0.5119 | 0.0973 | 0.2418 |
+| Training Loss | Epoch | Step | Validation Loss | Wer    | Cer    | Bleu |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:----:|
+| 8.9593        | 25.0  | 100  | 4.6860          | 1.0    | 0.9446 | 0.0  |
+| 3.3283        | 50.0  | 200  | 5.0896          | 1.0199 | 0.8069 | 0.0  |
+| 2.6345        | 75.0  | 300  | 6.0989          | 1.0176 | 0.7693 | 0.0  |
+| 1.963         | 100.0 | 400  | 6.7363          | 1.0451 | 0.7518 | 0.0  |
+| 1.3091        | 125.0 | 500  | 7.8085          | 1.0284 | 0.7587 | 0.0  |
+| 0.912         | 150.0 | 600  | 8.6744          | 1.0595 | 0.7507 | 0.0  |
 
 
 ### Framework versions

adapter.tam-128.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:44a8b0ff87bfade052adbd4e1553395b7026d25c8a3c0f2b5fcf551e74128cb8
+size 8926640

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7c1138a520646688bb0be6584d6426b9db940a4c106d0c299ac68f8810b65aeb
+oid sha256:0b15620c087435a85c14ef30008f8e656c3f7b6ad08f9a27e89e54c2cfa9ba90
 size 3859019024