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
       args: ta
     metrics:
-    - type: wer
-      value: 0.4315686639374767
-      name: Wer
-    - type: bleu
-      value: 0.32915498289612805
-      name: Bleu
+    - name: Wer
+      type: wer
+      value: 0.9963132675846669
+    - 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: 0.3977
-- Wer: 0.4316
-- Cer: 0.0713
-- Bleu: 0.3292
+- Loss: 2.4706
+- Wer: 0.9963
+- Cer: 0.6333
+- Bleu: 0.0
 
 ## Model description
 
@@ -73,15 +73,14 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Wer    | Cer    | Bleu   |
-|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|
-| 9.4608        | 25.0  | 100  | 1.1497          | 0.8643 | 0.1955 | 0.0179 |
-| 0.1833        | 50.0  | 200  | 0.2812          | 0.4107 | 0.0676 | 0.3604 |
-| 0.062         | 75.0  | 300  | 0.3407          | 0.4378 | 0.0717 | 0.3203 |
-| 0.048         | 100.0 | 400  | 0.3852          | 0.4328 | 0.0723 | 0.3317 |
-| 0.0398        | 125.0 | 500  | 0.4127          | 0.4462 | 0.0753 | 0.3148 |
-| 0.0335        | 150.0 | 600  | 0.3984          | 0.4420 | 0.0729 | 0.3145 |
-| 0.0312        | 175.0 | 700  | 0.3977          | 0.4316 | 0.0713 | 0.3292 |
+| Training Loss | Epoch | Step | Validation Loss | Wer    | Cer    | Bleu |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:----:|
+| 8.3205        | 6.25  | 100  | 3.8395          | 1.0415 | 0.8830 | 0.0  |
+| 3.3463        | 12.5  | 200  | 3.2263          | 1.0230 | 0.8113 | 0.0  |
+| 3.0206        | 18.75 | 300  | 3.0363          | 1.0047 | 0.8167 | 0.0  |
+| 2.7973        | 25.0  | 400  | 2.8782          | 1.0023 | 0.7764 | 0.0  |
+| 2.4269        | 31.25 | 500  | 2.6308          | 1.0027 | 0.6957 | 0.0  |
+| 2.0251        | 37.5  | 600  | 2.4706          | 0.9963 | 0.6333 | 0.0  |
 
 
 ### Framework versions

adapter.tam-512.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9fcb806be0ed04a53e9b005ad90824ec5d39c100056249ba24a9500ac6c808ee
+size 8926640

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:fa976affebc008fa9c326c103c0084d87a69950100fe94c274f8b40e90e0ff54
+oid sha256:64bce0b88e2bea2f18ef5af8dba8254a0057ca31718397a94e26bae17b6104f2
 size 3859019024