End of training

README.md

@@ -1,14 +1,33 @@
 ---
-base_model: facebook/mms-1b-all
-datasets:
-- common_voice_17_0
 library_name: transformers
 license: cc-by-nc-4.0
+base_model: facebook/mms-1b-all
 tags:
 - generated_from_trainer
+datasets:
+- common_voice_17_0
+metrics:
+- wer
+- bleu
 model-index:
 - name: wav2vec2-mms-1b-CV17.0
-  results: []
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: common_voice_17_0
+      type: common_voice_17_0
+      config: te
+      split: test
+      args: te
+    metrics:
+    - name: Wer
+      type: wer
+      value: 1.2142857142857142
+    - name: Bleu
+      type: bleu
+      value: 0.0
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -18,15 +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:
-- eval_loss: 0.2564
-- eval_wer: 0.4162
-- eval_cer: 0.0698
-- eval_bleu: 0.3568
-- eval_runtime: 202.4945
-- eval_samples_per_second: 11.921
-- eval_steps_per_second: 1.491
-- epoch: 4.2105
-- step: 1200
+- Loss: 11.1713
+- Wer: 1.2143
+- Cer: 0.8147
+- Bleu: 0.0
 
 ## Model description
 
@@ -54,9 +68,20 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.15
-- training_steps: 2000
+- training_steps: 1000
 - mixed_precision_training: Native AMP
 
+### Training results
+
+| Training Loss | Epoch    | Step | Validation Loss | Wer    | Cer    | Bleu |
+|:-------------:|:--------:|:----:|:---------------:|:------:|:------:|:----:|
+| 7.86          | 57.1429  | 200  | 6.2814          | 1.0440 | 0.8624 | 0.0  |
+| 2.3343        | 114.2857 | 400  | 7.7524          | 1.0769 | 0.7876 | 0.0  |
+| 1.4057        | 171.4286 | 600  | 9.7458          | 1.1319 | 0.7940 | 0.0  |
+| 0.9348        | 228.5714 | 800  | 10.7001         | 1.1319 | 0.8090 | 0.0  |
+| 0.7253        | 285.7143 | 1000 | 11.1713         | 1.2143 | 0.8147 | 0.0  |
+
+
 ### Framework versions
 
 - Transformers 4.44.2

adapter.tel.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:45f0370698f7cce7986d68c79faf3ca26b6eb6fc7088e5e82e6e1638b301e43e
+size 8926640