BlocksmithV2
This model is a fine-tuned version of DesilDev/Blocksmith on the samsum dataset. It achieves the following results on the evaluation set:
- Loss: 1.8786
- Rouge1: 39.0411
- Rouge2: 16.2095
- Rougel: 32.6745
- Rougelsum: 35.9911
- Gen Len: 16.28
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 2.115 | 1.0 | 921 | 1.8786 | 39.0411 | 16.2095 | 32.6745 | 35.9911 | 16.28 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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