End of training

README.md

@@ -1,6 +1,4 @@
 ---
-license: apache-2.0
-base_model: AntonyG/fine-tune-wav2vec2-large-xls-r-1b-sw
 tags:
 - generated_from_trainer
 datasets:
@@ -22,7 +20,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 0.8007542426147077
+      value: 1.0584538026398491
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -30,10 +28,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # fine-tune-wav2vec2-large-xls-r-300m-xty_224s
 
-This model is a fine-tuned version of [AntonyG/fine-tune-wav2vec2-large-xls-r-1b-sw](https://huggingface.co/AntonyG/fine-tune-wav2vec2-large-xls-r-1b-sw) on the ml-superb-subset dataset.
+This model was trained from scratch on the ml-superb-subset dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.2894
-- Wer: 0.8008
+- Loss: 0.7658
+- Wer: 1.0585
 
 ## Model description
 
@@ -61,16 +59,20 @@ 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_steps: 500
-- num_epochs: 20
+- num_epochs: 40
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch   | Step | Validation Loss | Wer    |
 |:-------------:|:-------:|:----:|:---------------:|:------:|
-| 3.356         | 5.5172  | 400  | 1.8297          | 0.9478 |
-| 0.9415        | 11.0345 | 800  | 1.7935          | 0.8485 |
-| 0.2658        | 16.5517 | 1200 | 2.2894          | 0.8008 |
+| 1.5419        | 5.5172  | 400  | 0.4368          | 0.9994 |
+| 0.423         | 11.0345 | 800  | 0.4315          | 1.0    |
+| 0.3795        | 16.5517 | 1200 | 0.3892          | 1.0151 |
+| 0.3306        | 22.0690 | 1600 | 0.4055          | 1.0013 |
+| 0.2464        | 27.5862 | 2000 | 0.4672          | 1.0421 |
+| 0.1454        | 33.1034 | 2400 | 0.6656          | 1.0333 |
+| 0.0883        | 38.6207 | 2800 | 0.7658          | 1.0585 |
 
 
 ### Framework versions

model.safetensors

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 size 1262012480

runs/May22_09-32-03_a5554c14b454/events.out.tfevents.1716370348.a5554c14b454.80691.4

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