metadata
license: apache-2.0
base_model: bakrianoo/t5-arabic-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: results2_ara_t5_v2
results: []
results2_ara_t5_v2
This model is a fine-tuned version of bakrianoo/t5-arabic-base on an unknown dataset. It achieves the following results on the evaluation set:
- Gen Len: 19.0
- Loss: 0.0003
- Rouge1: 0.0875
- Rouge2: 0.0046
- Rougel: 0.0871
- Rougelsum: 0.0873
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: 0.0005
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 250
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Gen Len | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|---|
| 3.3562 | 3.43 | 500 | 18.7896 | 0.0070 | 0.0966 | 0.0037 | 0.097 | 0.0965 |
| 0.0156 | 6.86 | 1000 | 19.0 | 0.0003 | 0.0875 | 0.0046 | 0.0871 | 0.0873 |
Framework versions
- Transformers 4.40.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2