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question-context-bm25-to10-p-v2
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: 10.6274
- Rouge1: 0.0198
- Rouge2: 0.0064
- Rougel: 0.0196
- Rougelsum: 0.0189
- Gen Len: 5.4
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 | 13.6281 | 0.0052 | 0.0 | 0.0052 | 0.0052 | 4.2667 |
| No log | 2.0 | 86 | 11.8718 | 0.0068 | 0.0016 | 0.0068 | 0.0066 | 4.4 |
| No log | 3.0 | 129 | 11.1016 | 0.01 | 0.0033 | 0.0099 | 0.0099 | 4.6667 |
| No log | 4.0 | 172 | 12.4219 | 0.0118 | 0.0033 | 0.0118 | 0.0113 | 4.8667 |
| No log | 5.0 | 215 | 11.5673 | 0.0118 | 0.0033 | 0.0118 | 0.0113 | 4.8667 |
| No log | 6.0 | 258 | 11.8397 | 0.0086 | 0.0017 | 0.0086 | 0.0086 | 4.6 |
| No log | 7.0 | 301 | 11.1954 | 0.0118 | 0.0033 | 0.0118 | 0.0113 | 4.8667 |
| No log | 8.0 | 344 | 10.6161 | 0.0198 | 0.0064 | 0.0196 | 0.0189 | 5.4 |
| No log | 9.0 | 387 | 10.6286 | 0.0198 | 0.0064 | 0.0196 | 0.0189 | 5.4 |
| No log | 10.0 | 430 | 10.6274 | 0.0198 | 0.0064 | 0.0196 | 0.0189 | 5.4 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
