sathwik_reddy_t5_summary
This model is a fine-tuned version of google/mt5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.4258
- Rouge1: 0.3185
- Rouge2: 0.1246
- Rougel: 0.2850
- Rougelsum: 0.2855
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: 5.6e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 3.1533 | 1.0 | 440 | 2.5586 | 0.2832 | 0.1122 | 0.2578 | 0.2589 |
| 3.0151 | 2.0 | 880 | 2.5020 | 0.2943 | 0.1113 | 0.2626 | 0.2635 |
| 2.9157 | 3.0 | 1320 | 2.4919 | 0.3029 | 0.1158 | 0.2710 | 0.2716 |
| 2.8355 | 4.0 | 1760 | 2.4670 | 0.3043 | 0.1163 | 0.2749 | 0.2753 |
| 2.7702 | 5.0 | 2200 | 2.4386 | 0.3143 | 0.1220 | 0.2826 | 0.2834 |
| 2.7169 | 6.0 | 2640 | 2.4322 | 0.3120 | 0.1202 | 0.2805 | 0.2807 |
| 2.6884 | 7.0 | 3080 | 2.4255 | 0.3154 | 0.1222 | 0.2834 | 0.2839 |
| 2.6671 | 8.0 | 3520 | 2.4258 | 0.3185 | 0.1246 | 0.2850 | 0.2855 |
Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
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google/mt5-small