carlot/whisper-base-mixed_v1

README.md

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+---
+license: apache-2.0
+base_model: carlot/whisper-base-withoutnoise
+tags:
+- generated_from_trainer
+datasets:
+- audiofolder
+model-index:
+- name: whisper-base-mixed_v1
+  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-base-mixed_v1
+
+This model is a fine-tuned version of [carlot/whisper-base-withoutnoise](https://huggingface.co/carlot/whisper-base-withoutnoise) on the audiofolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2602
+- Cer: 12.0846
+
+## 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: 4000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Cer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.0003        | 125.0 | 1000 | 0.2491          | 11.2790 |
+| 0.0001        | 250.0 | 2000 | 0.2513          | 11.2790 |
+| 0.0001        | 375.0 | 3000 | 0.2576          | 11.7825 |
+| 0.0001        | 500.0 | 4000 | 0.2602          | 12.0846 |
+
+
+### Framework versions
+
+- Transformers 4.36.0.dev0
+- Pytorch 2.1.1
+- Datasets 2.12.0
+- Tokenizers 0.15.0

generation_config.json

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+}

model.safetensors

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