End of training

README.md

@@ -3,9 +3,26 @@ license: mit
 base_model: facebook/w2v-bert-2.0
 tags:
 - generated_from_trainer
+datasets:
+- common_voice_14_0
+metrics:
+- wer
 model-index:
 - name: w2v-bert-2.0-swahili-V100-32GB-CV14.0
-  results: []
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: common_voice_14_0
+      type: common_voice_14_0
+      config: sw
+      split: test
+      args: sw
+    metrics:
+    - name: Wer
+      type: wer
+      value: 0.9282208525831644
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -13,7 +30,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 # w2v-bert-2.0-swahili-V100-32GB-CV14.0
 
-This model is a fine-tuned version of [facebook/w2v-bert-2.0](https://huggingface.co/facebook/w2v-bert-2.0) on an unknown dataset.
+This model is a fine-tuned version of [facebook/w2v-bert-2.0](https://huggingface.co/facebook/w2v-bert-2.0) on the common_voice_14_0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: inf
+- Wer: 0.9282
+- Cer: 0.3257
 
 ## Model description
 
@@ -44,6 +65,45 @@ The following hyperparameters were used during training:
 - training_steps: 10000
 - mixed_precision_training: Native AMP
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer    | Cer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
+| 1.5245        | 0.19  | 300  | inf             | 0.2379 | 0.0709 |
+| 0.2545        | 0.38  | 600  | inf             | 0.2225 | 0.0672 |
+| 0.2269        | 0.57  | 900  | inf             | 0.2020 | 0.0621 |
+| 0.2027        | 0.77  | 1200 | inf             | 0.1941 | 0.0604 |
+| 0.1866        | 0.96  | 1500 | inf             | 0.1893 | 0.0591 |
+| 0.1721        | 1.15  | 1800 | inf             | 0.1747 | 0.0538 |
+| 0.1689        | 1.34  | 2100 | inf             | 0.1781 | 0.0543 |
+| 0.1647        | 1.53  | 2400 | inf             | 0.1795 | 0.0545 |
+| 0.1652        | 1.72  | 2700 | inf             | 0.1736 | 0.0541 |
+| 0.1659        | 1.91  | 3000 | inf             | 0.1733 | 0.0528 |
+| 0.1653        | 2.1   | 3300 | inf             | 0.1753 | 0.0532 |
+| 0.1577        | 2.3   | 3600 | inf             | 0.1762 | 0.0530 |
+| 0.192         | 2.49  | 3900 | inf             | 0.1876 | 0.0579 |
+| 0.2557        | 2.68  | 4200 | inf             | 0.2411 | 0.0619 |
+| 0.3876        | 2.87  | 4500 | inf             | 0.2376 | 0.0677 |
+| 0.4498        | 3.06  | 4800 | inf             | 0.2080 | 0.0622 |
+| 0.4865        | 3.25  | 5100 | inf             | 0.2706 | 0.0744 |
+| 0.842         | 3.44  | 5400 | inf             | 0.5120 | 0.1169 |
+| 0.9809        | 3.64  | 5700 | inf             | 0.6735 | 0.1610 |
+| 1.0493        | 3.83  | 6000 | inf             | 0.8517 | 0.2787 |
+| 1.236         | 4.02  | 6300 | inf             | 0.7717 | 0.1951 |
+| 1.2051        | 4.21  | 6600 | inf             | 0.7491 | 0.1868 |
+| 1.1908        | 4.4   | 6900 | inf             | 0.8410 | 0.2340 |
+| 1.1987        | 4.59  | 7200 | inf             | 0.9118 | 0.2833 |
+| 1.2397        | 4.78  | 7500 | inf             | 0.9282 | 0.3257 |
+| 1.2443        | 4.97  | 7800 | inf             | 0.9282 | 0.3257 |
+| 1.2428        | 5.17  | 8100 | inf             | 0.9282 | 0.3257 |
+| 1.2422        | 5.36  | 8400 | inf             | 0.9282 | 0.3257 |
+| 1.249         | 5.55  | 8700 | inf             | 0.9282 | 0.3257 |
+| 1.2518        | 5.74  | 9000 | inf             | 0.9282 | 0.3257 |
+| 1.2374        | 5.93  | 9300 | inf             | 0.9282 | 0.3257 |
+| 1.2369        | 6.12  | 9600 | inf             | 0.9282 | 0.3257 |
+| 1.2454        | 6.31  | 9900 | inf             | 0.9282 | 0.3257 |
+
+
 ### Framework versions
 
 - Transformers 4.38.1