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lg_mBart50_large_torch
This model is a fine-tuned version of facebook/mbart-large-50 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.3909
- Rouge1: 0.0097
- Rouge2: 0.0
- Rougel: 0.0056
- Rougelsum: 0.0056
- Gen Len: 193.1
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: 1
- eval_batch_size: 1
- 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 |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 80 | 3.1453 | 0.003 | 0.0 | 0.003 | 0.003 | 194.9 |
| No log | 2.0 | 160 | 3.1958 | 0.003 | 0.0 | 0.003 | 0.003 | 195.5 |
| No log | 3.0 | 240 | 3.2498 | 0.006 | 0.0 | 0.004 | 0.004 | 191.75 |
| No log | 4.0 | 320 | 3.3909 | 0.0097 | 0.0 | 0.0056 | 0.0056 | 193.1 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
