reviews_sum

This model is a fine-tuned version of google/mt5-small on an mirfan899/movies_reviews_summaries dataset. It achieves the following results on the evaluation set:

• Loss: 2.0004
• Rouge1: 0.0606
• Rouge2: 0.0075
• Rougel: 0.0615
• Rougelsum: 0.0611
• 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: 0.001
• 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

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	395	2.2625	0.0346	0.0069	0.035	0.0352	18.9778
3.319	2.0	790	2.1100	0.0419	0.0093	0.0428	0.0426	19.0
2.2853	3.0	1185	2.0675	0.047	0.0061	0.0483	0.0481	19.0
2.0122	4.0	1580	2.0005	0.0584	0.0095	0.0601	0.0599	19.0
2.0122	5.0	1975	2.0004	0.0606	0.0075	0.0615	0.0611	19.0

Framework versions

• Transformers 4.35.0
• Pytorch 2.0.0
• Datasets 2.14.6
• Tokenizers 0.14.1