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tuna_t0_v1.4
This model is a fine-tuned version of anhdt-dsai-02/tuna_t0_v1.4 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2362
- Rouge1: 54.433
- Rouge2: 22.9948
- Rougel: 37.9417
- Rougelsum: 42.4368
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: 1e-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
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 10 | 0.2354 | 54.1069 | 24.8029 | 37.0113 | 41.1825 |
| No log | 2.0 | 20 | 0.2362 | 54.1069 | 24.8029 | 37.0113 | 41.1825 |
| No log | 3.0 | 30 | 0.2362 | 54.433 | 22.9948 | 37.9417 | 42.4368 |
| No log | 4.0 | 40 | 0.2362 | 54.433 | 22.9948 | 37.9417 | 42.4368 |
Framework versions
- Transformers 4.26.1
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
