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QuoteVibes_Model_Trained
This model is a fine-tuned version of Rozi05/QuoteVibes_Model_Trained on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.2219
- Rouge1: 11.7394
- Rouge2: 1.4024
- Rougel: 9.7846
- Rougelsum: 10.0235
- Gen Len: 17.1625
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 150 | 3.1925 | 11.6735 | 1.7437 | 10.0247 | 10.2581 | 16.5729 |
| No log | 2.0 | 300 | 3.1935 | 11.4578 | 1.4256 | 9.7349 | 9.9873 | 17.3802 |
| No log | 3.0 | 450 | 3.2051 | 11.241 | 1.4784 | 9.6348 | 9.9422 | 16.7018 |
| 2.8181 | 4.0 | 600 | 3.2096 | 11.3695 | 1.6037 | 9.6514 | 9.8463 | 17.0402 |
| 2.8181 | 5.0 | 750 | 3.2122 | 10.9969 | 1.2929 | 9.3497 | 9.4967 | 15.6884 |
| 2.8181 | 6.0 | 900 | 3.2122 | 11.3798 | 1.3531 | 9.4819 | 9.6248 | 17.2295 |
| 2.7265 | 7.0 | 1050 | 3.2119 | 10.9556 | 1.3303 | 9.3502 | 9.4796 | 15.3920 |
| 2.7265 | 8.0 | 1200 | 3.2162 | 10.8047 | 1.3714 | 9.2892 | 9.4603 | 15.2864 |
| 2.7265 | 9.0 | 1350 | 3.2210 | 11.1006 | 1.4179 | 9.4258 | 9.6289 | 15.3116 |
| 2.6841 | 10.0 | 1500 | 3.2219 | 11.7394 | 1.4024 | 9.7846 | 10.0235 | 17.1625 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
