metadata
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-300m
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: XLS-R_Synthesis_GN_v1
results: []
XLS-R_Synthesis_GN_v1
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5071
- Wer: 0.3125
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: 18
- eval_batch_size: 9
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 2
- total_train_batch_size: 72
- total_eval_batch_size: 18
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: polynomial
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 100.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 5.5691 | 1.0 | 1252 | 2.9844 | 1.0 |
| 1.7927 | 2.0 | 2505 | 0.5051 | 0.5816 |
| 0.5062 | 3.0 | 3757 | 0.3025 | 0.3928 |
| 0.3566 | 4.0 | 5010 | 0.2515 | 0.3208 |
| 0.2883 | 5.0 | 6262 | 0.2237 | 0.2811 |
| 0.2474 | 6.0 | 7515 | 0.2055 | 0.2538 |
| 0.223 | 7.0 | 8767 | 0.1929 | 0.2394 |
| 0.2068 | 8.0 | 10020 | 0.1957 | 0.2354 |
| 0.2043 | 9.0 | 11272 | 0.2222 | 0.2486 |
| 0.3093 | 10.0 | 12525 | 0.3168 | 0.3350 |
| 0.2501 | 11.0 | 13777 | 0.2099 | 0.2458 |
| 0.3961 | 12.0 | 15030 | 0.5071 | 0.3125 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0