mt0-small-query-extraction-v4
This model is a fine-tuned version of bigscience/mt0-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0016
- Rouge1: 55.6206
- Rouge2: 48.0808
- Rougel: 55.6125
- Rougelsum: 55.6119
- Gen Len: 19.0
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: 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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 0.0121 | 1.0 | 110364 | 0.0040 | 55.607 | 48.038 | 55.5908 | 55.5903 | 19.0 |
| 0.0045 | 2.0 | 220728 | 0.0021 | 55.6226 | 48.0812 | 55.6123 | 55.6125 | 19.0 |
| 0.003 | 3.0 | 331092 | 0.0016 | 55.6206 | 48.0808 | 55.6125 | 55.6119 | 19.0 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Base model
bigscience/mt0-small