metadata
license: mit
base_model: cointegrated/rut5-base-multitask
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flux-mt5-base-multitask-model
results: []
flux-mt5-base-multitask-model
This model is a fine-tuned version of cointegrated/rut5-base-multitask on the None dataset. It achieves the following results on the evaluation set:
- Loss: nan
- Rouge1: 0.0399
- Rouge2: 0.0123
- Rougel: 0.0358
- Rougelsum: 0.0358
- Gen Len: 11.5531
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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 0.0 | 1.0 | 10877 | nan | 0.0399 | 0.0123 | 0.0358 | 0.0358 | 11.5531 |
| 0.0 | 2.0 | 21754 | nan | 0.0399 | 0.0123 | 0.0358 | 0.0358 | 11.5531 |
| 0.0 | 3.0 | 32631 | nan | 0.0399 | 0.0123 | 0.0358 | 0.0358 | 11.5531 |
| 0.0 | 4.0 | 43508 | nan | 0.0399 | 0.0123 | 0.0358 | 0.0358 | 11.5531 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1