metadata
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt5-small-finetuned-xlsum-ru-en-new-3
results: []
mt5-small-finetuned-xlsum-ru-en-new-3
This model is a fine-tuned version of google/mt5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.2908
- Rouge1: 5.5296
- Rouge2: 1.2847
- Rougel: 5.4736
- Rougelsum: 5.4929
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: 5.6e-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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 3.5647 | 1.0 | 7781 | 2.4279 | 3.7064 | 0.8436 | 3.6826 | 3.6992 |
| 3.0137 | 2.0 | 15562 | 2.3466 | 4.4983 | 0.9015 | 4.4599 | 4.4665 |
| 2.894 | 3.0 | 23343 | 2.3047 | 5.2553 | 1.1766 | 5.1885 | 5.2096 |
| 2.8408 | 4.0 | 31124 | 2.2908 | 5.5296 | 1.2847 | 5.4736 | 5.4929 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu118
- Datasets 2.18.0
- Tokenizers 0.15.2