metadata
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: output
results: []
output
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.0007
- Cer: 0.3962
- Wer: 0.6069
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: 0.0006
- train_batch_size: 16
- eval_batch_size: 16
- seed: 300
- 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: 1500
- training_steps: 3500
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer | Wer |
|---|---|---|---|---|---|
| 5.2909 | 0.16 | 100 | 5.7883 | 0.9933 | 1.0 |
| 4.4471 | 0.32 | 200 | 3.7597 | 0.9812 | 1.0 |
| 3.6763 | 0.48 | 300 | 3.7718 | 0.9769 | 1.0 |
| 3.1272 | 0.64 | 400 | 3.4647 | 0.9826 | 1.0 |
| 3.0699 | 0.8 | 500 | 2.7480 | 0.6002 | 0.8337 |
| 1.7389 | 0.96 | 600 | 2.4468 | 0.4717 | 0.6782 |
| 1.7013 | 1.12 | 700 | 2.1151 | 0.4489 | 0.6820 |
| 1.2995 | 1.28 | 800 | 2.0757 | 0.4160 | 0.6245 |
| 1.6852 | 1.44 | 900 | 1.9870 | 0.4112 | 0.6154 |
| 1.3997 | 1.6 | 1000 | 2.0007 | 0.3962 | 0.6069 |
| 1.768 | 1.76 | 1100 | 2.0712 | 0.4123 | 0.6448 |
| 2.5192 | 1.92 | 1200 | 2.5729 | 0.6884 | 0.9178 |
| 2.6077 | 2.08 | 1300 | 2.4078 | 0.4816 | 0.8066 |
| 2.6928 | 2.24 | 1400 | 2.3596 | 0.4904 | 0.7915 |
| 0.0 | 2.4 | 1500 | 2.4471 | 0.6019 | 0.8782 |
| 0.0 | 2.56 | 1600 | 2.4490 | 0.6112 | 0.8888 |
| 0.0 | 2.7200 | 1700 | nan | 1.0 | 1.0 |
| 0.0 | 2.88 | 1800 | nan | 1.0 | 1.0 |
| 0.0 | 3.04 | 1900 | nan | 1.0 | 1.0 |
| 0.0 | 3.2 | 2000 | nan | 1.0 | 1.0 |
| 0.0 | 3.36 | 2100 | nan | 1.0 | 1.0 |
| 0.0 | 3.52 | 2200 | nan | 1.0 | 1.0 |
| 0.0 | 3.68 | 2300 | nan | 1.0 | 1.0 |
| 0.0 | 3.84 | 2400 | nan | 1.0 | 1.0 |
| 0.0 | 4.0 | 2500 | nan | 1.0 | 1.0 |
| 0.0 | 4.16 | 2600 | nan | 1.0 | 1.0 |
| 0.0 | 4.32 | 2700 | nan | 1.0 | 1.0 |
| 0.0 | 4.48 | 2800 | nan | 1.0 | 1.0 |
| 0.0 | 4.64 | 2900 | nan | 1.0 | 1.0 |
| 0.0 | 4.8 | 3000 | nan | 1.0 | 1.0 |
| 0.0 | 4.96 | 3100 | nan | 1.0 | 1.0 |
| 0.0 | 5.12 | 3200 | nan | 1.0 | 1.0 |
| 0.0 | 5.28 | 3300 | nan | 1.0 | 1.0 |
| 0.0 | 5.44 | 3400 | nan | 1.0 | 1.0 |
| 0.0 | 5.6 | 3500 | nan | 1.0 | 1.0 |
Framework versions
- Transformers 4.43.1
- Pytorch 2.4.0
- Datasets 2.20.0
- Tokenizers 0.19.1