metadata
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: arabic
results: []
arabic
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: 2.7199
- Rouge1: 3.7571
- Rouge2: 0.2649
- Rougel: 3.7082
- Rougelsum: 3.7164
- Gen Len: 13.5905
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: 7
- eval_batch_size: 7
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 3.8864 | 1.0 | 2104 | 2.7927 | 1.5293 | 0.1284 | 1.5124 | 1.5229 | 15.165 |
| 3.6049 | 2.0 | 4208 | 2.7199 | 3.7571 | 0.2649 | 3.7082 | 3.7164 | 13.5905 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2