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
results: []
mt5-small-finetuned-xlsum-ru-en
This model is a fine-tuned version of google/mt5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.2400
- Rouge1: 18.7928
- Rouge2: 5.4469
- Rougel: 15.5062
- Rougelsum: 15.5249
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 |
|---|---|---|---|---|---|---|---|
| 2.8597 | 1.0 | 46096 | 2.3958 | 17.6496 | 4.6706 | 14.4867 | 14.4996 |
| 2.7599 | 2.0 | 92192 | 2.3019 | 18.4841 | 5.2303 | 15.2467 | 15.2666 |
| 2.6495 | 3.0 | 138288 | 2.2553 | 18.5736 | 5.3333 | 15.3459 | 15.3694 |
| 2.5965 | 4.0 | 184384 | 2.2400 | 18.7928 | 5.4469 | 15.5062 | 15.5249 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu118
- Datasets 2.18.0
- Tokenizers 0.15.2