content/DereAbdulhameed/new_whisper_yoruba/checkpoint-1000

README.md

@@ -0,0 +1,60 @@
+---
+license: apache-2.0
+base_model: DereAbdulhameed/whisper-cli-yor
+tags:
+- generated_from_trainer
+datasets:
+- common_voice_16_1
+model-index:
+- name: new_whisper_yoruba
+  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. -->
+
+# new_whisper_yoruba
+
+This model is a fine-tuned version of [DereAbdulhameed/whisper-cli-yor](https://huggingface.co/DereAbdulhameed/whisper-cli-yor) on the common_voice_16_1 dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 1.3864
+- eval_wer: 34.4790
+- eval_runtime: 460.5039
+- eval_samples_per_second: 3.748
+- eval_steps_per_second: 0.469
+- epoch: 17.01
+- 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: 64
+- 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: 4000
+- mixed_precision_training: Native AMP
+
+### Framework versions
+
+- Transformers 4.40.0.dev0
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

generation_config.json

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 {
-  "_from_model_config": true,
   "begin_suppress_tokens": [
     220,
     50257

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runs/Mar23_02-53-18_3303a0c51981/events.out.tfevents.1711162416.3303a0c51981.3014.0

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