ml_ma_test
This model is a fine-tuned version of ai4bharat/MultiIndicSentenceSummarizationSS on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8317
- Rouge1: 0.5723
- Rouge2: 0.2638
- Rougel: 0.5722
- Rougelsum: 0.5718
- Gen Len: 20.0
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
---|---|---|---|---|---|---|---|---|
4.0697 | 1.0 | 619 | 2.0783 | 0.4787 | 0.1563 | 0.4782 | 0.4783 | 20.0 |
2.239 | 2.0 | 1238 | 1.1642 | 0.534 | 0.2222 | 0.5339 | 0.5338 | 20.0 |
1.6017 | 3.0 | 1857 | 0.8796 | 0.5685 | 0.2576 | 0.5681 | 0.5679 | 20.0 |
1.3024 | 4.0 | 2476 | 0.8317 | 0.5723 | 0.2638 | 0.5722 | 0.5718 | 20.0 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1
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