mt5-small-samsum_2
This model is a fine-tuned version of google/mt5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 9.5910
- Rouge1: 0.0
- Rouge2: 0.0
- Rougel: 0.0
- Rougelsum: 0.0
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
---|---|---|---|---|---|---|---|
No log | 1.0 | 14 | 16.7951 | 0.0 | 0.0 | 0.0 | 0.0 |
No log | 2.0 | 28 | 13.8430 | 0.0 | 0.0 | 0.0 | 0.0 |
No log | 3.0 | 42 | 11.8751 | 0.0 | 0.0 | 0.0 | 0.0 |
No log | 4.0 | 56 | 10.2458 | 0.0 | 0.0 | 0.0 | 0.0 |
No log | 5.0 | 70 | 9.5910 | 0.0 | 0.0 | 0.0 | 0.0 |
Framework versions
- Transformers 4.43.3
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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google/mt5-small