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: 0.9963132675846669
-      name: Wer
-    - type: bleu
-      value: 0.0
-      name: Bleu
+    - name: Wer
+      type: wer
+      value: 0.3699525493114998
+    - name: Bleu
+      type: bleu
+      value: 0.4072321954028345
 ---
 
 <!-- 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: 2.4706
-- Wer: 0.9963
-- Cer: 0.6333
-- Bleu: 0.0
+- Loss: 0.2281
+- Wer: 0.3700
+- Cer: 0.0598
+- Bleu: 0.4072
 
 ## Model description
 
@@ -73,14 +73,19 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| 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  |
+| Training Loss | Epoch   | Step | Validation Loss | Wer    | Cer    | Bleu   |
+|:-------------:|:-------:|:----:|:---------------:|:------:|:------:|:------:|
+| 7.0089        | 1.5625  | 100  | 0.2991          | 0.4260 | 0.0693 | 0.3354 |
+| 0.2087        | 3.125   | 200  | 0.2305          | 0.3968 | 0.0634 | 0.3678 |
+| 0.1924        | 4.6875  | 300  | 0.2291          | 0.3879 | 0.0624 | 0.3799 |
+| 0.1799        | 6.25    | 400  | 0.2290          | 0.3859 | 0.0629 | 0.3830 |
+| 0.1698        | 7.8125  | 500  | 0.2224          | 0.3700 | 0.0600 | 0.4119 |
+| 0.1587        | 9.375   | 600  | 0.2246          | 0.3672 | 0.0601 | 0.4129 |
+| 0.1547        | 10.9375 | 700  | 0.2176          | 0.3855 | 0.0604 | 0.3820 |
+| 0.1446        | 12.5    | 800  | 0.2273          | 0.3907 | 0.0619 | 0.3755 |
+| 0.1404        | 14.0625 | 900  | 0.2239          | 0.3713 | 0.0605 | 0.4035 |
+| 0.1333        | 15.625  | 1000 | 0.2261          | 0.3699 | 0.0602 | 0.4123 |
+| 0.1251        | 17.1875 | 1100 | 0.2281          | 0.3700 | 0.0598 | 0.4072 |
 
 
 ### Framework versions

adapter.tam-2048.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bf45410e3a2a11b8132f60f632eea00ec8baa599d7442c701a84fb669607da50
+size 8926640

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:0b5c3248b6376254fc2e22a5d4fbe989cc0384e34c3db3e83ca24d2893ad94dd
+oid sha256:cb75a4a42de0b66b39a5cf746f61ef7b3d9c7469589a6daec9d770a56f54e56d
 size 3859019024