en_bn_summarize_v9

This model is a fine-tuned version of google/mt5-base on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 10.1813
• Rouge1: 0.0
• Rouge2: 0.0
• Rougel: 0.0
• Rougelsum: 0.0
• Gen Len: 19.2112

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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	154	21.8463	0.0	0.0	0.0	0.0	14.2733
22.8116	2.0	308	21.0316	0.0	0.0	0.0	0.0	15.9441
22.8116	3.0	462	18.9193	0.0	0.0	0.0	0.0	16.8882
18.8985	4.0	616	15.2305	0.0	0.0	0.0	0.0	17.7826
18.8985	5.0	770	10.1813	0.0	0.0	0.0	0.0	19.2112

Framework versions

• Transformers 4.34.0
• Pytorch 2.0.1+cu118
• Datasets 2.14.5
• Tokenizers 0.14.1