mt5-small-finetuned-12feb-1

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

• Loss: 2.4285
• Rouge1: 18.23
• Rouge2: 5.42
• Rougel: 18.09

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: 10
• eval_batch_size: 10
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 9

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel
3.0346	1.0	311	2.4880	17.19	5.28	17.06
2.8943	2.0	622	2.4751	17.77	5.18	17.59
2.8397	3.0	933	2.4719	17.65	5.38	17.55
2.806	4.0	1244	2.4614	18.26	5.23	18.03
2.7842	5.0	1555	2.4464	18.08	5.51	17.96
2.7855	6.0	1866	2.4437	17.9	5.37	17.8
2.7796	7.0	2177	2.4270	18.07	5.38	17.95
2.7951	8.0	2488	2.4267	17.96	5.36	17.85
2.7864	9.0	2799	2.4285	18.23	5.42	18.09

Framework versions

• Transformers 4.26.1
• Pytorch 1.13.1+cu116
• Datasets 2.9.0
• Tokenizers 0.13.2