hg_telugu_indicbartss_output
This model is a fine-tuned version of checkpoint-9 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1625
- Rouge1: 6.3785
- Rouge2: 1.0201
- Rougel: 6.3703
- Rougelsum: 6.3768
- Mr1: 40.1756
- Mr2: 22.6278
- Mrl: 38.9605
- Gen Len: 30.0
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: 5e-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: 1.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Mr1 | Mr2 | Mrl | Gen Len |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.9137 | 1.0 | 52114 | 1.1625 | 6.2669 | 0.9708 | 6.2599 | 6.2654 | 39.4378 | 22.2455 | 38.2567 | 20.0 |
Framework versions
- Transformers 4.25.0.dev0
- Pytorch 1.13.1+cu117
- Datasets 2.10.0
- Tokenizers 0.12.1
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