--- license: apache-2.0 tags: - generated_from_trainer datasets: - timit_asr model-index: - name: remake_base results: [] --- # remake_base This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the timit_asr dataset. It achieves the following results on the evaluation set: - Loss: 0.3289 - Cer: 0.1196 ## 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: 0.0001 - train_batch_size: 16 - eval_batch_size: 8 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 1000 - training_steps: 2500 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Cer | |:-------------:|:-----:|:----:|:---------------:|:------:| | 5.891 | 0.8 | 200 | 3.4674 | 0.9746 | | 3.0345 | 1.61 | 400 | 2.3321 | 0.6943 | | 1.3335 | 2.41 | 600 | 0.6416 | 0.1832 | | 0.6266 | 3.21 | 800 | 0.4364 | 0.1458 | | 0.5244 | 4.02 | 1000 | 0.3783 | 0.1425 | | 0.4244 | 4.82 | 1200 | 0.3599 | 0.1331 | | 0.3897 | 5.62 | 1400 | 0.3361 | 0.1323 | | 0.3254 | 6.43 | 1600 | 0.3336 | 0.1258 | | 0.3007 | 7.23 | 1800 | 0.3346 | 0.1264 | | 0.2719 | 8.03 | 2000 | 0.3167 | 0.1192 | | 0.2417 | 8.84 | 2200 | 0.3272 | 0.1205 | | 0.2253 | 9.64 | 2400 | 0.3289 | 0.1196 | ### Framework versions - Transformers 4.17.0 - Pytorch 2.4.0 - Datasets 1.18.3 - Tokenizers 0.21.0