End of training

README.md

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+---
+base_model: openai/whisper-tiny
+library_name: peft
+license: apache-2.0
+tags:
+- generated_from_trainer
+model-index:
+- name: whisper-tiny-akan-lora
+  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-tiny-akan-lora
+
+This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.2527
+
+## 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: 0.0001
+- train_batch_size: 8
+- 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: 50
+- training_steps: 2000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 2.183         | 2.5   | 250  | 1.8650          |
+| 1.5663        | 5.0   | 500  | 1.5657          |
+| 1.4027        | 7.5   | 750  | 1.4221          |
+| 1.2577        | 10.0  | 1000 | 1.3457          |
+| 1.2005        | 12.5  | 1250 | 1.3022          |
+| 1.1409        | 15.0  | 1500 | 1.2743          |
+| 1.1152        | 17.5  | 1750 | 1.2585          |
+| 1.0965        | 20.0  | 2000 | 1.2527          |
+
+
+### Framework versions
+
+- PEFT 0.13.1.dev0
+- Transformers 4.44.2
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.1
+- Tokenizers 0.19.1

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