tags: | |
- generated_from_trainer | |
model-index: | |
- name: t5-russian-spell | |
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. --> | |
# t5-russian-spell | |
This model is a fine-tuned version of [UrukHan/t5-russian-spell](https://huggingface.co/UrukHan/t5-russian-spell) on the None dataset. | |
It achieves the following results on the evaluation set: | |
- eval_loss: 0.2866 | |
- eval_rouge1: 48.7916 | |
- eval_rouge2: 30.2551 | |
- eval_rougeL: 48.686 | |
- eval_rougeLsum: 48.7615 | |
- eval_gen_len: 60.885 | |
- eval_runtime: 409.0196 | |
- eval_samples_per_second: 2.934 | |
- eval_steps_per_second: 0.367 | |
- epoch: 0.08 | |
- step: 12000 | |
## 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: 5e-05 | |
- train_batch_size: 8 | |
- eval_batch_size: 8 | |
- seed: 42 | |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
- lr_scheduler_type: linear | |
- num_epochs: 1 | |
- mixed_precision_training: Native AMP | |
### Framework versions | |
- Transformers 4.17.0 | |
- Pytorch 1.10.0+cu111 | |
- Datasets 2.0.0 | |
- Tokenizers 0.11.6 | |