End of training
Browse files- README.md +96 -0
- adapter.eng_yor.safetensors +3 -0
- training_args.bin +2 -2
README.md
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---
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library_name: transformers
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base_model: oluwagbotty/CS_mms_eng_yor
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tags:
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- generated_from_trainer
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metrics:
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- wer
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model-index:
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- name: CS_mms_eng_yor
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# CS_mms_eng_yor
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This model is a fine-tuned version of [oluwagbotty/CS_mms_eng_yor](https://huggingface.co/oluwagbotty/CS_mms_eng_yor) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3397
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- Wer: 0.3218
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0005705665024630542
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- train_batch_size: 16
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 32
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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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 |
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|:-------------:|:------:|:----:|:---------------:|:------:|
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| 2.3476 | 0.2436 | 100 | 0.4135 | 0.3730 |
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| 0.4631 | 0.4872 | 200 | 0.3958 | 0.3640 |
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| 0.4441 | 0.7308 | 300 | 0.3826 | 0.3493 |
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| 0.4367 | 0.9744 | 400 | 0.3784 | 0.3522 |
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| 0.424 | 1.2168 | 500 | 0.3734 | 0.3468 |
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| 0.4256 | 1.4604 | 600 | 0.3760 | 0.3516 |
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| 0.4189 | 1.7040 | 700 | 0.3739 | 0.3474 |
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| 0.4293 | 1.9476 | 800 | 0.3678 | 0.3448 |
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| 0.4105 | 2.1900 | 900 | 0.3663 | 0.3466 |
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| 0.3981 | 2.4336 | 1000 | 0.3736 | 0.3441 |
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| 0.4161 | 2.6772 | 1100 | 0.3725 | 0.3487 |
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| 0.4188 | 2.9208 | 1200 | 0.3628 | 0.3434 |
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| 0.3984 | 3.1632 | 1300 | 0.3671 | 0.3426 |
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| 0.4108 | 3.4068 | 1400 | 0.3674 | 0.3410 |
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| 0.3905 | 3.6504 | 1500 | 0.3593 | 0.3388 |
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| 0.3977 | 3.8940 | 1600 | 0.3626 | 0.3387 |
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| 0.3961 | 4.1364 | 1700 | 0.3610 | 0.3322 |
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| 0.3844 | 4.3800 | 1800 | 0.3644 | 0.3423 |
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| 0.3938 | 4.6236 | 1900 | 0.3554 | 0.3355 |
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| 0.3808 | 4.8672 | 2000 | 0.3579 | 0.3349 |
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| 0.3822 | 5.1096 | 2100 | 0.3562 | 0.3330 |
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| 0.3755 | 5.3532 | 2200 | 0.3556 | 0.3307 |
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| 0.3789 | 5.5968 | 2300 | 0.3514 | 0.3303 |
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| 0.3742 | 5.8404 | 2400 | 0.3472 | 0.3328 |
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| 0.3608 | 6.0828 | 2500 | 0.3470 | 0.3276 |
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| 0.3647 | 6.3264 | 2600 | 0.3468 | 0.3295 |
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| 0.3719 | 6.5700 | 2700 | 0.3457 | 0.3260 |
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| 0.3678 | 6.8136 | 2800 | 0.3423 | 0.3179 |
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| 0.3575 | 7.0560 | 2900 | 0.3422 | 0.3201 |
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| 0.3427 | 7.2996 | 3000 | 0.3516 | 0.3232 |
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| 0.3661 | 7.5432 | 3100 | 0.3420 | 0.3216 |
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| 0.3502 | 7.7868 | 3200 | 0.3430 | 0.3238 |
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| 0.3681 | 8.0292 | 3300 | 0.3388 | 0.3201 |
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| 0.3454 | 8.2728 | 3400 | 0.3397 | 0.3218 |
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### Framework versions
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- Transformers 4.52.0.dev0
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- Pytorch 2.6.0+cu124
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- Datasets 3.6.0
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- Tokenizers 0.21.1
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adapter.eng_yor.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:88dedc0ba93ddcd2ff977e13a109114adf00c2cd3a1865f068d7b2b41b3cc55e
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size 8988136
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:85fff907b969389dcda74abbf2255d1c6cef3551f7891de56193d503b6209a58
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size 5304
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