wav2vec2-efeat-300m-norwegian-colab

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 1.0
+      value: 2.027646033483319
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [facebook/wav2vec2-lv-60-espeak-cv-ft](https://huggingface.co/facebook/wav2vec2-lv-60-espeak-cv-ft) on the nb_samtale dataset.
 It achieves the following results on the evaluation set:
-- Loss: nan
-- Wer: 1.0
+- Loss: 743.7425
+- Wer: 2.0276
 
 ## Model description
 
@@ -53,11 +53,11 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 0.0003
-- train_batch_size: 8
+- train_batch_size: 16
 - eval_batch_size: 8
 - seed: 42
 - gradient_accumulation_steps: 2
-- total_train_batch_size: 16
+- total_train_batch_size: 32
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
@@ -68,9 +68,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 1200.6574     | 1.29  | 400  | inf             | 1.0000 |
-| 929.0892      | 2.57  | 800  | inf             | 1.0000 |
-| 1095.0877     | 3.86  | 1200 | nan             | 1.0    |
+| 1239.2848     | 2.57  | 400  | 743.7425        | 2.0276 |
 
 
 ### Framework versions

model.safetensors

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 size 1263414696

runs/Nov22_15-46-04_e3d53f6ffcdd/events.out.tfevents.1700668162.e3d53f6ffcdd.634.0

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