| --- |
| license: apache-2.0 |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: batch_size_2 |
| 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. --> |
|
|
| # batch_size_2 |
|
|
| This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.8600 |
|
|
| ## 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: 0.0003 |
| - train_batch_size: 2 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - gradient_accumulation_steps: 2 |
| - total_train_batch_size: 4 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 200 |
| - num_epochs: 30 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 13.2945 | 1.69 | 200 | 3.6357 | |
| | 3.737 | 3.38 | 400 | 3.6624 | |
| | 3.707 | 5.06 | 600 | 3.6271 | |
| | 3.6038 | 6.75 | 800 | 3.5749 | |
| | 3.4502 | 8.44 | 1000 | 3.2693 | |
| | 3.1641 | 10.13 | 1200 | 2.9155 | |
| | 2.6047 | 11.81 | 1400 | 2.3544 | |
| | 2.0028 | 13.5 | 1600 | 2.0022 | |
| | 1.5415 | 15.19 | 1800 | 1.8024 | |
| | 1.1696 | 16.88 | 2000 | 1.7754 | |
| | 0.8809 | 18.57 | 2200 | 1.6793 | |
| | 0.7591 | 20.25 | 2400 | 1.8127 | |
| | 0.6056 | 21.94 | 2600 | 1.7993 | |
| | 0.5091 | 23.63 | 2800 | 1.7812 | |
| | 0.4569 | 25.32 | 3000 | 1.7781 | |
| | 0.4167 | 27.0 | 3200 | 1.8802 | |
| | 0.3432 | 28.69 | 3400 | 1.8600 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.28.0 |
| - Pytorch 2.0.1 |
| - Datasets 2.12.0 |
| - Tokenizers 0.13.2 |
|
|
