|
--- |
|
library_name: transformers |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: base_sami_22k_cont_pt_ftpseudo_shuff142wr20esp5 |
|
results: [] |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# base_sami_22k_cont_pt_ftpseudo_shuff142wr20esp5 |
|
|
|
This model was trained from scratch on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1150.0363 |
|
- Wer: 1.0 |
|
- Cer: 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: 16 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- 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 |
|
- lr_scheduler_warmup_ratio: 0.2 |
|
- num_epochs: 20.0 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer | |
|
|:-------------:|:-----:|:----:|:---------------:|:---:|:---:| |
|
| 4511.6611 | 1.0 | 1080 | 1149.9353 | 1.0 | 1.0 | |
|
| 3591.4514 | 2.0 | 2160 | 1155.4658 | 1.0 | 1.0 | |
|
| 3649.9262 | 3.0 | 3240 | 1155.6082 | 1.0 | 1.0 | |
|
| 3789.6616 | 4.0 | 4320 | 1146.7284 | 1.0 | 1.0 | |
|
| 3752.8502 | 5.0 | 5400 | 1158.9340 | 1.0 | 1.0 | |
|
| 3673.8093 | 6.0 | 6480 | 1151.3530 | 1.0 | 1.0 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.48.3 |
|
- Pytorch 2.5.1 |
|
- Datasets 3.2.0 |
|
- Tokenizers 0.21.0 |
|
|