banglat5_deed_sum_test_1

This model is a fine-tuned version of csebuetnlp/banglat5 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: nan
• Rouge1: 0.0
• Rouge2: 0.0
• Rougel: 0.0
• Rougelsum: 0.0
• Gen Len: 0.0

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: 5e-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: 8
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
0.0	0.9973	183	nan	0.0	0.0	0.0	0.0	0.0
0.0	2.0	367	nan	0.0	0.0	0.0	0.0	0.0
0.0	2.9973	550	nan	0.0	0.0	0.0	0.0	0.0
0.0	4.0	734	nan	0.0	0.0	0.0	0.0	0.0
0.0	4.9973	917	nan	0.0	0.0	0.0	0.0	0.0
0.0	6.0	1101	nan	0.0	0.0	0.0	0.0	0.0
0.0	6.9973	1284	nan	0.0	0.0	0.0	0.0	0.0
0.0	7.9782	1464	nan	0.0	0.0	0.0	0.0	0.0

Framework versions

• Transformers 4.44.2
• Pytorch 2.4.1+cu121
• Datasets 2.21.0
• Tokenizers 0.19.1