End of training

README.md

@@ -8,6 +8,56 @@ tags:
 - generated_from_trainer
 datasets:
 - IndabaxSenegal/asr-wolof-dataset
-metrics:
-- wer
----
+model-index:
+- name: Whisper Small WO - Team
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# Whisper Small WO - Team
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the ASR Wolof Dataset dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 1.8224
+- eval_wer: 111.3192
+- eval_runtime: 3443.366
+- eval_samples_per_second: 0.754
+- eval_steps_per_second: 0.094
+- epoch: 1.5385
+- step: 1000
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 1e-05
+- train_batch_size: 16
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- training_steps: 2000
+- mixed_precision_training: Native AMP
+
+### Framework versions
+
+- Transformers 4.45.1
+- Pytorch 2.4.0
+- Datasets 3.0.1
+- Tokenizers 0.20.0

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