metadata
library_name: transformers
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: ssr-360m
results: []
ssr-360m
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0227
- Model Preparation Time: 0.0066
- Wer: 0.1206
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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 10
- total_train_batch_size: 20
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Model Preparation Time | Wer |
|---|---|---|---|---|---|
| 12.0652 | 0.9999 | 5200 | 0.5135 | 0.0066 | 0.4332 |
| 2.1537 | 1.9999 | 10400 | 0.0530 | 0.0066 | 0.1585 |
| 3.0568 | 2.9999 | 15600 | 0.0731 | 0.0066 | 0.2030 |
| 0.9142 | 3.9999 | 20800 | 0.0313 | 0.0066 | 0.1407 |
| 0.3436 | 4.9999 | 26000 | 0.0308 | 0.0066 | 0.1403 |
| 0.7558 | 5.9999 | 31200 | 0.0286 | 0.0066 | 0.1337 |
| 0.5733 | 6.9999 | 36400 | 0.0265 | 0.0066 | 0.1221 |
| 0.1573 | 7.9999 | 41600 | 0.0241 | 0.0066 | 0.1439 |
| 0.2248 | 8.9999 | 46800 | 0.0225 | 0.0066 | 0.1199 |
| 0.1501 | 9.9999 | 52000 | 0.0227 | 0.0066 | 0.1206 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.5.1
- Datasets 3.3.2
- Tokenizers 0.21.0