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question-context-bm25-to10-p
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: 10.5504
- Rouge1: 0.0502
- Rouge2: 0.0175
- Rougel: 0.0473
- Rougelsum: 0.0468
- Gen Len: 7.6
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 43 | 15.2809 | 0.0052 | 0.0 | 0.0052 | 0.0052 | 4.1333 |
| No log | 2.0 | 86 | 14.3225 | 0.0162 | 0.0047 | 0.0158 | 0.0155 | 4.8667 |
| No log | 3.0 | 129 | 13.3174 | 0.0244 | 0.0079 | 0.0245 | 0.0241 | 5.9333 |
| No log | 4.0 | 172 | 11.8196 | 0.0328 | 0.0096 | 0.0311 | 0.0307 | 6.3333 |
| No log | 5.0 | 215 | 11.3645 | 0.0435 | 0.0176 | 0.0429 | 0.042 | 6.8667 |
| No log | 6.0 | 258 | 10.9238 | 0.0435 | 0.0176 | 0.0429 | 0.042 | 6.8667 |
| No log | 7.0 | 301 | 10.6191 | 0.0435 | 0.0176 | 0.0429 | 0.042 | 7.0 |
| No log | 8.0 | 344 | 10.8159 | 0.0476 | 0.0176 | 0.0445 | 0.0438 | 7.2667 |
| No log | 9.0 | 387 | 10.5623 | 0.0465 | 0.0175 | 0.0458 | 0.045 | 7.4 |
| No log | 10.0 | 430 | 10.5504 | 0.0502 | 0.0175 | 0.0473 | 0.0468 | 7.6 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
