metadata
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: ft-wav2vec2-with-minds-asr
results: []
ft-wav2vec2-with-minds-asr
This model is a fine-tuned version of facebook/wav2vec2-base on the PolyAI/minds14 dataset. It achieves the following results on the evaluation set:
- Loss: 3.2186
- 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: 5e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- 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: 20
- training_steps: 0
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| No log | 0.2 | 20 | 3.7561 | 1.0 |
| 8.7776 | 0.4 | 40 | 3.2186 | 1.0 |
| 3.2979 | 0.6 | 60 | 3.1543 | 1.0 |
| 3.2979 | 0.8 | 80 | 3.1295 | 1.0 |
| 3.1761 | 1.0 | 100 | 3.1033 | 1.0 |
| 3.1708 | 1.2 | 120 | 3.1019 | 1.0 |
| 3.1708 | 1.4 | 140 | 3.0894 | 1.0 |
| 3.0608 | 1.6 | 160 | 3.0664 | 1.0 |
| 3.0686 | 1.8 | 180 | 3.0616 | 1.0 |
| 3.0686 | 2.0 | 200 | 3.0622 | 1.0 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.3.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.2