second_release

README.md

@@ -5,9 +5,24 @@ tags:
 - generated_from_trainer
 datasets:
 - common_voice_13_0
+metrics:
+- wer
 model-index:
 - name: Wav2Vec2-Urdu-300M
-  results: []
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: common_voice_13_0
+      type: common_voice_13_0
+      config: ur
+      split: test
+      args: ur
+    metrics:
+    - name: Wer
+      type: wer
+      value: 0.382515146807519
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -17,13 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the common_voice_13_0 dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: inf
-- eval_wer: 0.3928
-- eval_runtime: 234.5067
-- eval_samples_per_second: 14.089
-- eval_steps_per_second: 1.761
-- epoch: 13.56
-- step: 8400
+- Loss: inf
+- Wer: 0.3825
 
 ## Model description
 
@@ -43,17 +53,28 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 0.0003
-- train_batch_size: 6
+- train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
 - gradient_accumulation_steps: 2
-- total_train_batch_size: 12
+- total_train_batch_size: 16
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
-- num_epochs: 18
+- num_epochs: 14
 - mixed_precision_training: Native AMP
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.9658        | 2.58  | 1200 | inf             | 0.5573 |
+| 0.5669        | 5.17  | 2400 | inf             | 0.4473 |
+| 0.4117        | 7.75  | 3600 | inf             | 0.4121 |
+| 0.3197        | 10.33 | 4800 | inf             | 0.4039 |
+| 0.2667        | 12.92 | 6000 | inf             | 0.3825 |
+
+
 ### Framework versions
 
 - Transformers 4.35.0

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:570d99f4ed2868b01becc38a8c316fc27d0db0818ec0c2e620340d391ddebd3c
+oid sha256:deddac38042aa9d5e1cc81208a8ee860edc9ce71c185a8267a7c46246164e1f2
 size 1261996080

runs/Nov10_14-35-52_9ef673b706cd/events.out.tfevents.1699627195.9ef673b706cd.1359.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:0aa4d2cf17b9bd201ee2ace52dc265abb9d4da2315ae9f247ac910462024829d
-size 9991
+oid sha256:5bd979b9b76b2e9802435d7e0a42bb9e14967faff27362d59d6f4f3bf89acedc
+size 10345