|
--- |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: '' |
|
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. --> |
|
|
|
# |
|
|
|
This model is a fine-tuned version of [./checkpoint-13000](https://huggingface.co/./checkpoint-13000) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: inf |
|
- Wer: 0.1854 |
|
|
|
## 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: 7.5e-05 |
|
- train_batch_size: 16 |
|
- eval_batch_size: 16 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 8 |
|
- total_train_batch_size: 128 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_steps: 2000 |
|
- num_epochs: 6.0 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|:-------------:|:-----:|:-----:|:---------------:|:------:| |
|
| 0.9827 | 0.29 | 1000 | inf | 0.2937 | |
|
| 1.0203 | 0.57 | 2000 | inf | 0.2711 | |
|
| 1.0048 | 0.86 | 3000 | inf | 0.2620 | |
|
| 0.9858 | 1.15 | 4000 | inf | 0.2522 | |
|
| 0.9709 | 1.43 | 5000 | inf | 0.2365 | |
|
| 0.9347 | 1.72 | 6000 | inf | 0.2332 | |
|
| 0.9256 | 2.01 | 7000 | inf | 0.2261 | |
|
| 0.8936 | 2.29 | 8000 | inf | 0.2203 | |
|
| 0.877 | 2.58 | 9000 | inf | 0.2096 | |
|
| 0.8393 | 2.87 | 10000 | inf | 0.2017 | |
|
| 0.8156 | 3.15 | 11000 | inf | 0.1936 | |
|
| 0.8015 | 3.44 | 12000 | inf | 0.1880 | |
|
| 0.774 | 3.73 | 13000 | inf | 0.1834 | |
|
| 0.8372 | 4.01 | 14000 | inf | 0.1934 | |
|
| 0.8075 | 4.3 | 15000 | inf | 0.1923 | |
|
| 0.8069 | 4.59 | 16000 | inf | 0.1877 | |
|
| 0.8064 | 4.87 | 17000 | inf | 0.1955 | |
|
| 0.801 | 5.16 | 18000 | inf | 0.1891 | |
|
| 0.8022 | 5.45 | 19000 | inf | 0.1895 | |
|
| 0.792 | 5.73 | 20000 | inf | 0.1854 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.17.0.dev0 |
|
- Pytorch 1.10.2+cu102 |
|
- Datasets 1.18.3.dev0 |
|
- Tokenizers 0.11.0 |
|
|
