End of training
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README.md
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---
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tags:
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- generated_from_trainer
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metrics:
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# my_checkpoints_cl_250203
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This model is a fine-tuned version of [zainulhakim/
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It achieves the following results on the evaluation set:
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- Loss:
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- Wer: 1.0
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- Cer: 0.
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate:
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- train_batch_size: 4
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 500
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- num_epochs:
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
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|:-------------:|:-----:|:----:|:---------------:|:---:|:------:|
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| No log | 1.0 | 79 |
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| No log | 2.0 | 158 | 7.6020 | 1.0 | 0.9971 |
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| No log | 3.0 | 237 | 7.6020 | 1.0 | 0.9971 |
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| No log | 4.0 | 316 | 7.6020 | 1.0 | 0.9971 |
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| No log | 5.0 | 395 | 7.6020 | 1.0 | 0.9971 |
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| No log | 6.0 | 474 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 7.0 | 553 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 8.0 | 632 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 9.0 | 711 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 10.0 | 790 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 11.0 | 869 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 12.0 | 948 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 13.0 | 1027 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 14.0 | 1106 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 15.0 | 1185 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 16.0 | 1264 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 17.0 | 1343 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 18.0 | 1422 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 19.0 | 1501 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 20.0 | 1580 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 21.0 | 1659 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 22.0 | 1738 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 23.0 | 1817 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 24.0 | 1896 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 25.0 | 1975 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 26.0 | 2054 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 27.0 | 2133 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 28.0 | 2212 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 29.0 | 2291 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 30.0 | 2370 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 31.0 | 2449 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 32.0 | 2528 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 33.0 | 2607 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 34.0 | 2686 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 35.0 | 2765 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 36.0 | 2844 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 37.0 | 2923 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 38.0 | 3002 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 39.0 | 3081 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 40.0 | 3160 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 41.0 | 3239 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 42.0 | 3318 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 43.0 | 3397 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 44.0 | 3476 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 45.0 | 3555 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 46.0 | 3634 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 47.0 | 3713 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 48.0 | 3792 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 49.0 | 3871 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 50.0 | 3950 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 51.0 | 4029 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 52.0 | 4108 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 53.0 | 4187 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 54.0 | 4266 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 55.0 | 4345 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 56.0 | 4424 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 57.0 | 4503 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 58.0 | 4582 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 59.0 | 4661 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 60.0 | 4740 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 61.0 | 4819 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 62.0 | 4898 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 63.0 | 4977 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 64.0 | 5056 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 65.0 | 5135 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 66.0 | 5214 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 67.0 | 5293 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 68.0 | 5372 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 69.0 | 5451 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 70.0 | 5530 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 71.0 | 5609 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 72.0 | 5688 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 73.0 | 5767 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 74.0 | 5846 | 7.6020 | 1.0 | 0.9971 |
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| 128 |
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| 0.0 | 75.0 | 5925 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 76.0 | 6004 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 77.0 | 6083 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 78.0 | 6162 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 79.0 | 6241 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 80.0 | 6320 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 81.0 | 6399 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 82.0 | 6478 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 83.0 | 6557 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 84.0 | 6636 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 85.0 | 6715 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 86.0 | 6794 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 87.0 | 6873 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 88.0 | 6952 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 89.0 | 7031 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 90.0 | 7110 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 91.0 | 7189 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 92.0 | 7268 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 93.0 | 7347 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 94.0 | 7426 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 95.0 | 7505 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 96.0 | 7584 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 97.0 | 7663 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 98.0 | 7742 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 99.0 | 7821 | 7.6020 | 1.0 | 0.9971 |
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| 0.0 | 100.0 | 7900 | 7.6020 | 1.0 | 0.9971 |
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### Framework versions
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---
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license: apache-2.0
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base_model: zainulhakim/241103_wav2vec2_Augmented_Dataset
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tags:
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- generated_from_trainer
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metrics:
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# my_checkpoints_cl_250203
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This model is a fine-tuned version of [zainulhakim/241103_wav2vec2_Augmented_Dataset](https://huggingface.co/zainulhakim/241103_wav2vec2_Augmented_Dataset) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: nan
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- Wer: 1.0
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- Cer: 0.9985
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 10
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- train_batch_size: 4
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 500
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- num_epochs: 1
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
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|:-------------:|:-----:|:----:|:---------------:|:---:|:------:|
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| No log | 1.0 | 79 | nan | 1.0 | 0.9985 |
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### Framework versions
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