| <!-- 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. --> | |
| # d-l-dl | |
| This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h) on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 3.4495 | |
| - Wer: 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: 0.0003 | |
| - train_batch_size: 16 | |
| - eval_batch_size: 8 | |
| - seed: 42 | |
| - gradient_accumulation_steps: 2 | |
| - total_train_batch_size: 32 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - lr_scheduler_warmup_steps: 500 | |
| - num_epochs: 800 | |
| - mixed_precision_training: Native AMP | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Wer | | |
| |:-------------:|:-----:|:----:|:---------------:|:---:| | |
| | 42.4143 | 49.8 | 100 | 21.5116 | 1.0 | | |
| | 5.9884 | 99.8 | 200 | 31.7976 | 1.0 | | |
| | 4.0043 | 149.8 | 300 | 3.4829 | 1.0 | | |
| | 3.653 | 199.8 | 400 | 3.6417 | 1.0 | | |
| | 3.5207 | 249.8 | 500 | 3.5081 | 1.0 | | |
| | 3.63 | 299.8 | 600 | 3.4836 | 1.0 | | |
| | 3.648 | 349.8 | 700 | 3.4515 | 1.0 | | |
| | 3.6448 | 399.8 | 800 | 3.4647 | 1.0 | | |
| | 3.6872 | 449.8 | 900 | 3.4371 | 1.0 | | |
| | 3.6892 | 499.8 | 1000 | 3.4337 | 1.0 | | |
| | 3.684 | 549.8 | 1100 | 3.4375 | 1.0 | | |
| | 3.6843 | 599.8 | 1200 | 3.4452 | 1.0 | | |
| | 3.6842 | 649.8 | 1300 | 3.4416 | 1.0 | | |
| | 3.6819 | 699.8 | 1400 | 3.4498 | 1.0 | | |
| | 3.6832 | 749.8 | 1500 | 3.4524 | 1.0 | | |
| | 3.6828 | 799.8 | 1600 | 3.4495 | 1.0 | | |
| ### Framework versions | |
| - Transformers 4.11.3 | |
| - Pytorch 1.10.0+cu113 | |
| - Datasets 1.18.3 | |
| - Tokenizers 0.10.3 | |