metadata
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- librispeech_asr
model-index:
- name: wav2vec2-large-xls-r-300m-en-colab
results: []
wav2vec2-large-xls-r-300m-en-colab
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the librispeech_asr dataset. It achieves the following results on the evaluation set:
- Loss: 2.7541
- Wer: 1.0
- Cer: 0.9877
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: 0.001
- 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: 100
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| No log | 1.94 | 33 | 2.9905 | 1.0 | 1.0 |
| No log | 3.88 | 66 | 2.9023 | 1.0 | 1.0 |
| No log | 5.82 | 99 | 2.8788 | 1.0 | 1.0 |
| 3.7488 | 7.76 | 132 | 2.8624 | 1.0 | 1.0 |
| 3.7488 | 9.71 | 165 | 2.7541 | 1.0 | 0.9877 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.11.0+cpu
- Datasets 1.18.3
- Tokenizers 0.12.1