t5-small-finetuned-manimml-1.2

This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.5385
• Rouge1: 37.8725
• Rouge2: 33.7385
• Rougel: 37.8747
• Rougelsum: 37.8687
• Gen Len: 19.0

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: 2e-05
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	453	1.1048	40.9262	33.7385	37.8747	37.8687	19.0
3.2333	2.0	906	0.7955	37.8725	33.7385	37.8747	37.8687	19.0
2.8355	3.0	1359	0.6407	37.8725	33.7385	37.8747	37.8687	19.0
2.6654	4.0	1812	0.5615	37.8725	33.7385	37.8747	37.8687	19.0
2.5705	5.0	2265	0.5385	37.8725	33.7385	37.8747	37.8687	19.0

Framework versions

• Transformers 4.42.4
• Pytorch 2.3.1+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1