mt0-small-query-extraction-2
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: 0.0000
- Rouge1: 67.4541
- Rouge2: 63.5776
- Rougel: 67.4563
- Rougelsum: 67.4555
- 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: 24
- eval_batch_size: 16
- 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 |
|---|---|---|---|---|---|---|---|---|
| 0.0025 | 1.0 | 5000 | 0.0000 | 67.4541 | 63.5776 | 67.4563 | 67.4555 | 19.0 |
| 0.0009 | 2.0 | 10000 | 0.0000 | 67.4541 | 63.5776 | 67.4563 | 67.4555 | 19.0 |
| 0.0004 | 3.0 | 15000 | 0.0000 | 67.4541 | 63.5776 | 67.4563 | 67.4555 | 19.0 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Base model
bigscience/mt0-small