search_summarize_v1
This model is a fine-tuned version of t5-small on the billsum dataset. It achieves the following results on the evaluation set:
- Loss: 2.5224
- Rouge1: 0.1476
- Rouge2: 0.0551
- Rougel: 0.1228
- Rougelsum: 0.1228
- 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: 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: 4
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
---|---|---|---|---|---|---|---|---|
No log | 1.0 | 62 | 2.8176 | 0.1281 | 0.0401 | 0.1087 | 0.1086 | 19.0 |
No log | 2.0 | 124 | 2.5989 | 0.1372 | 0.0476 | 0.1138 | 0.1137 | 19.0 |
No log | 3.0 | 186 | 2.5386 | 0.1464 | 0.0541 | 0.1218 | 0.1219 | 19.0 |
No log | 4.0 | 248 | 2.5224 | 0.1476 | 0.0551 | 0.1228 | 0.1228 | 19.0 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
- Downloads last month
- 20
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Model tree for surprisedPikachu007/search_summarize_v1
Base model
google-t5/t5-small
Finetuned
this model