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: 0.5038262932638631
-      name: Wer
-    - type: bleu
-      value: 0.25352723931305554
-      name: Bleu
+    - name: Wer
+      type: wer
+      value: 0.4315686639374767
+    - name: Bleu
+      type: bleu
+      value: 0.32915498289612805
 ---
 
 <!-- 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: 0.5467
-- Wer: 0.5038
-- Cer: 0.0871
-- Bleu: 0.2535
+- Loss: 0.3977
+- Wer: 0.4316
+- Cer: 0.0713
+- Bleu: 0.3292
 
 ## Model description
 
@@ -75,13 +75,13 @@ The following hyperparameters were used during training:
 
 | 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 |
+| 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 |
 
 
 ### Framework versions

adapter.tam-128.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:44a8b0ff87bfade052adbd4e1553395b7026d25c8a3c0f2b5fcf551e74128cb8
+oid sha256:8613039a45905e3c6dd6b6c4d9eb1cef6d597568b235e5723092216aea667faa
 size 8926640

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a2b9c62aa39f08c93006388f1700829cb348ff5a6740df88f34032adee50f710
+oid sha256:8bdab2855e52eca7c0b7e633a0916d0cb224788b8dfe506e98bf3fc254d479b1
 size 3859019024