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: 0.4250355227574827
-      name: Wer
-    - type: bleu
-      value: 0.3461897882903843
-      name: Bleu
+    - name: Wer
+      type: wer
+      value: 0.38488334784800843
+    - name: Bleu
+      type: bleu
+      value: 0.3848277074951031
 ---
 
 <!-- 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: 0.3320
-- Wer: 0.4250
-- Cer: 0.0720
-- Bleu: 0.3462
+- Loss: 0.2335
+- Wer: 0.3849
+- Cer: 0.0627
+- Bleu: 0.3848
 
 ## Model description
 
@@ -73,16 +73,17 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Wer    | Cer    | Bleu   |
-|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|
-| 11.5156       | 6.25  | 50   | 5.5076          | 1.0    | 0.9701 | 0.0    |
-| 1.8133        | 12.5  | 100  | 0.2759          | 0.4067 | 0.0674 | 0.3610 |
-| 0.1751        | 18.75 | 150  | 0.2414          | 0.3828 | 0.0639 | 0.3924 |
-| 0.1315        | 25.0  | 200  | 0.2556          | 0.3887 | 0.0649 | 0.3901 |
-| 0.1           | 31.25 | 250  | 0.2842          | 0.4168 | 0.0700 | 0.3520 |
-| 0.0842        | 37.5  | 300  | 0.2997          | 0.4133 | 0.0699 | 0.3571 |
-| 0.0717        | 43.75 | 350  | 0.3210          | 0.4260 | 0.0732 | 0.3431 |
-| 0.0608        | 50.0  | 400  | 0.3320          | 0.4250 | 0.0720 | 0.3462 |
+| Training Loss | Epoch   | Step | Validation Loss | Wer    | Cer    | Bleu   |
+|:-------------:|:-------:|:----:|:---------------:|:------:|:------:|:------:|
+| 12.5537       | 1.5625  | 50   | 3.9513          | 1.0006 | 0.9854 | 0.0    |
+| 2.2034        | 3.125   | 100  | 0.3019          | 0.4137 | 0.0683 | 0.3510 |
+| 0.226         | 4.6875  | 150  | 0.2305          | 0.3794 | 0.0623 | 0.3981 |
+| 0.1904        | 6.25    | 200  | 0.2262          | 0.3776 | 0.0618 | 0.3988 |
+| 0.1798        | 7.8125  | 250  | 0.2275          | 0.3760 | 0.0621 | 0.4040 |
+| 0.1724        | 9.375   | 300  | 0.2399          | 0.4021 | 0.0659 | 0.3610 |
+| 0.1791        | 10.9375 | 350  | 0.2310          | 0.3883 | 0.0635 | 0.3797 |
+| 0.1678        | 12.5    | 400  | 0.2405          | 0.3961 | 0.0666 | 0.3722 |
+| 0.1527        | 14.0625 | 450  | 0.2335          | 0.3849 | 0.0627 | 0.3848 |
 
 
 ### Framework versions

adapter.tam-1024.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4e72562670b7460424c5cdf9b48311249aaac7856d4448b07895672dff366c0f
+size 8926640

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:58d95f419e4bc0cb1e4bc937d9f837bbc0ac4a77c0e48e11fc4bfd9b9711aed2
+oid sha256:f03babb5345a779605f8b40890b4c30ea1ea8da04422f6031b4c6e9e6481912d
 size 3859019024