asr-africa/wav2vec2-xls-r-Wolof-10-hours-Google-Fleurs-dataset

README.md

@@ -4,9 +4,26 @@ license: apache-2.0
 base_model: facebook/wav2vec2-xls-r-300m
 tags:
 - generated_from_trainer
+datasets:
+- fleurs
+metrics:
+- wer
 model-index:
 - name: wav2vec2-xls-r-Wolof-10-hours-Google-Fleurs-dataset
- results: []
+ results:
+ - task:
+ name: Automatic Speech Recognition
+ type: automatic-speech-recognition
+ dataset:
+ name: fleurs
+ type: fleurs
+ config: wo_sn
+ split: None
+ args: wo_sn
+ metrics:
+ - name: Wer
+ type: wer
+ value: 0.442296823782073
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -15,7 +32,11 @@ should probably proofread and complete it, then remove this comment. -->
 [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/asr-africa-research-team/ASR%20Africa/runs/1lxkt8t0)
 # wav2vec2-xls-r-Wolof-10-hours-Google-Fleurs-dataset
 
-This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on an unknown dataset.
+This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the fleurs dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.2082
+- Wer: 0.4423
+- Cer: 0.1524
 
 ## Model description
 
@@ -45,6 +66,31 @@ The following hyperparameters were used during training:
 - lr_scheduler_warmup_ratio: 0.1
 - num_epochs: 50
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
+|:-------------:|:-------:|:----:|:---------------:|:------:|:------:|
+| 6.6995 | 2.6144 | 200 | 3.0428 | 1.0 | 1.0 |
+| 3.0391 | 5.2288 | 400 | 3.0117 | 1.0 | 1.0 |
+| 3.0035 | 7.8431 | 600 | 2.9794 | 1.0 | 1.0 |
+| 2.0946 | 10.4575 | 800 | 0.9827 | 0.7357 | 0.2560 |
+| 0.8407 | 13.0719 | 1000 | 0.7398 | 0.5189 | 0.1848 |
+| 0.5774 | 15.6863 | 1200 | 0.7214 | 0.4926 | 0.1745 |
+| 0.4229 | 18.3007 | 1400 | 0.6996 | 0.4852 | 0.1707 |
+| 0.3332 | 20.9150 | 1600 | 0.7950 | 0.4878 | 0.1708 |
+| 0.2488 | 23.5294 | 1800 | 0.8972 | 0.4645 | 0.1624 |
+| 0.2043 | 26.1438 | 2000 | 0.9122 | 0.4576 | 0.1609 |
+| 0.1699 | 28.7582 | 2200 | 1.0064 | 0.4777 | 0.1672 |
+| 0.1472 | 31.3725 | 2400 | 1.0141 | 0.4554 | 0.1581 |
+| 0.1251 | 33.9869 | 2600 | 1.0362 | 0.4553 | 0.1580 |
+| 0.1152 | 36.6013 | 2800 | 1.1312 | 0.4490 | 0.1554 |
+| 0.0986 | 39.2157 | 3000 | 1.1552 | 0.4499 | 0.1555 |
+| 0.0905 | 41.8301 | 3200 | 1.1811 | 0.4463 | 0.1547 |
+| 0.0879 | 44.4444 | 3400 | 1.1849 | 0.4513 | 0.1551 |
+| 0.0793 | 47.0588 | 3600 | 1.2074 | 0.4422 | 0.1527 |
+| 0.0802 | 49.6732 | 3800 | 1.2082 | 0.4423 | 0.1524 |
+
+
 ### Framework versions
 
 - Transformers 4.44.2

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:99a4c28fc3e59d1649232d402f46bbf7830aab00a1357914a2fee067804cab7e
 size 1261963280