End of training

README.md

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 ---
-license: mit
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: Davlan/mT5_base_yoruba_adr
+model-index:
+- name: yoruba-diacritics-quantized
+  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. -->
+
+# yoruba-diacritics-quantized
+
+This model is a fine-tuned version of [Davlan/mT5_base_yoruba_adr](https://huggingface.co/Davlan/mT5_base_yoruba_adr) on an unknown dataset.
+
+## 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: 0.001
+- train_batch_size: 16
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- 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: 5
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Framework versions
+
+- PEFT 0.7.2.dev0
+- Transformers 4.38.0.dev0
+- Pytorch 2.0.0
+- Datasets 2.16.1
+- Tokenizers 0.15.0

runs/Jan22_21-40-31_81a7861de832/events.out.tfevents.1705959634.81a7861de832.27.13

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