<!-- 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. -->
wav2vec2-large-lv60-200-BPE
This model is a fine-tuned version of facebook/wav2vec2-large-lv60 on the None dataset. It achieves the following results on the evaluation set:
- Loss: nan
- 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: 0.0005
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1500
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Wer |
---|---|---|---|---|
4.5404 | 0.69 | 1000 | 4.7838 | 1.0 |
1.4467 | 1.39 | 2000 | 1.4455 | 0.9006 |
1.0879 | 2.08 | 3000 | 1.1046 | 0.6413 |
0.9838 | 2.77 | 4000 | 1.0398 | 0.6339 |
0.8974 | 3.47 | 5000 | 1.0120 | 0.5716 |
0.8292 | 4.16 | 6000 | 1.0117 | 0.6164 |
0.8741 | 4.85 | 7000 | 0.9665 | 0.5490 |
0.8567 | 5.55 | 8000 | 1.0425 | 0.5486 |
0.0 | 6.24 | 9000 | nan | 1.0 |
0.0 | 6.93 | 10000 | nan | 1.0 |
0.0 | 7.63 | 11000 | nan | 1.0 |
0.0 | 8.32 | 12000 | nan | 1.0 |
0.0 | 9.02 | 13000 | nan | 1.0 |
0.0 | 9.71 | 14000 | nan | 1.0 |
0.0 | 10.4 | 15000 | nan | 1.0 |
0.0 | 11.1 | 16000 | nan | 1.0 |
0.0 | 11.79 | 17000 | nan | 1.0 |
0.0 | 12.48 | 18000 | nan | 1.0 |
0.0 | 13.18 | 19000 | nan | 1.0 |
0.0 | 13.87 | 20000 | nan | 1.0 |
0.0 | 14.56 | 21000 | nan | 1.0 |
0.0 | 15.26 | 22000 | nan | 1.0 |
0.0 | 15.95 | 23000 | nan | 1.0 |
0.0 | 16.64 | 24000 | nan | 1.0 |
0.0 | 17.34 | 25000 | nan | 1.0 |
0.0 | 18.03 | 26000 | nan | 1.0 |
0.0 | 18.72 | 27000 | nan | 1.0 |
0.0 | 19.42 | 28000 | nan | 1.0 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu117
- Datasets 2.10.1
- Tokenizers 0.13.2