End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: facebook/wav2vec2-base-960h
+tags:
+- generated_from_trainer
+datasets:
+- ikhlas_recitations
+model-index:
+- name: wav2vec2-base-960h-surah-ikhlas
+  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. -->
+
+# wav2vec2-base-960h-surah-ikhlas
+
+This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h) on the ikhlas_recitations dataset.
+It achieves the following results on the evaluation set:
+- Loss: 192.3414
+- Cer: 1.0
+
+## 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: 0.0002
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 8
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Cer |
+|:-------------:|:-----:|:----:|:---------------:|:---:|
+| 252.9518      | 1.0   | 169  | 192.9570        | 1.0 |
+| 197.4007      | 2.0   | 338  | 195.8111        | 1.0 |
+| 199.6979      | 3.0   | 507  | 195.2820        | 1.0 |
+| 192.7235      | 4.0   | 676  | 194.1128        | 1.0 |
+| 191.8175      | 5.0   | 845  | 191.2574        | 1.0 |
+| 198.807       | 6.0   | 1014 | 192.3538        | 1.0 |
+| 197.9822      | 7.0   | 1183 | 193.7099        | 1.0 |
+| 198.7911      | 8.0   | 1352 | 192.4198        | 1.0 |
+| 195.2912      | 9.0   | 1521 | 192.4637        | 1.0 |
+| 204.8462      | 10.0  | 1690 | 192.3414        | 1.0 |
+
+
+### Framework versions
+
+- Transformers 4.46.2
+- Pytorch 2.5.0+cu121
+- Datasets 3.1.0
+- Tokenizers 0.20.3

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