End of training

README.md

@@ -1,33 +1,33 @@
 ---
+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
       config: ta
-      split: validation[:5%]+validation[20%:25%]+validation[60%:65%]+validation[90%:]
+      split: validation
       args: ta
     metrics:
-    - type: wer
-      value: 1.0594668189204621
-      name: Wer
-    - type: bleu
-      value: 0.0
-      name: Bleu
+    - name: Wer
+      type: wer
+      value: 0.5038262932638631
+    - name: Bleu
+      type: bleu
+      value: 0.25352723931305554
 ---
 
 <!-- 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: 8.6744
-- Wer: 1.0595
-- Cer: 0.7507
-- Bleu: 0.0
+- Loss: 0.5467
+- Wer: 0.5038
+- Cer: 0.0871
+- Bleu: 0.2535
 
 ## Model description
 
@@ -73,14 +73,15 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| 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  |
+| Training Loss | Epoch | Step | Validation Loss | Wer    | Cer    | Bleu   |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|
+| 7.5761        | 100.0 | 100  | 0.3128          | 0.4455 | 0.0729 | 0.3095 |
+| 0.067         | 200.0 | 200  | 0.3441          | 0.4234 | 0.0706 | 0.3389 |
+| 0.0307        | 300.0 | 300  | 0.3906          | 0.4489 | 0.0749 | 0.3100 |
+| 0.0251        | 400.0 | 400  | 0.4461          | 0.4745 | 0.0802 | 0.2744 |
+| 0.0205        | 500.0 | 500  | 0.4579          | 0.4834 | 0.0820 | 0.2714 |
+| 0.0166        | 600.0 | 600  | 0.4550          | 0.4742 | 0.0823 | 0.2837 |
+| 0.0123        | 700.0 | 700  | 0.5467          | 0.5038 | 0.0871 | 0.2535 |
 
 
 ### Framework versions

adapter.tam-32.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:430dd3371c27f9711a35b77193edf6f29602e46a90bf330450e66924e589a8bc
-size 8931772
+oid sha256:4f8fe71b9a7e8a2606159ed838c80f25bd4a6762194f6030cf29d4d41fd79a25
+size 8926640

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7f1bdefb29192140f61f9e10744da3275780931b7ac645271d854b993fb0604b
+oid sha256:a6206720aa9ff508f3e4ed6f5aa1b093a50e3dd35ae946b017034ddd129f4e30
 size 3859019024