en_bn_summarize_v8
This model is a fine-tuned version of csebuetnlp/mT5_m2m_crossSum on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: nan
- Rouge1: 2.6956
- Rouge2: 0.2754
- Rougel: 2.3694
- Rougelsum: 2.6129
- Gen Len: 28.045
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
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 5000
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 0.0 | 1.0 | 625 | nan | 2.6956 | 0.2754 | 2.3694 | 2.6129 | 28.045 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for mHossain/en_bn_summarize_v8
Base model
csebuetnlp/mT5_m2m_crossSum