metadata
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-small-laShootKP
results: []
t5-small-laShootKP
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1739
- Rouge1: 49.6859
- Rouge2: 37.2276
- Rougel: 49.5085
- Rougelsum: 49.5531
- Gen Len: 6.5138
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.1796 | 1.0 | 6223 | 1.1739 | 49.6859 | 37.2276 | 49.5085 | 49.5531 | 6.5138 |
| 1.0232 | 2.0 | 12446 | 1.1820 | 49.7748 | 37.0118 | 49.5941 | 49.6469 | 6.8708 |
| 0.9315 | 3.0 | 18669 | 1.2301 | 48.0881 | 35.58 | 48.0004 | 48.0227 | 6.6295 |
| 0.8268 | 4.0 | 24892 | 1.2825 | 44.9333 | 32.8997 | 44.8001 | 44.8274 | 6.3620 |
| 0.8217 | 5.0 | 31115 | 1.3131 | 45.5074 | 32.864 | 45.3445 | 45.3414 | 6.3456 |
| 0.7738 | 6.0 | 37338 | 1.3544 | 44.6476 | 32.7547 | 44.4945 | 44.5461 | 6.5479 |
| 0.7336 | 7.0 | 43561 | 1.3442 | 45.3053 | 33.1408 | 45.155 | 45.1848 | 6.5295 |
| 0.7086 | 8.0 | 49784 | 1.3590 | 45.3277 | 33.0743 | 45.2083 | 45.2695 | 6.5869 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2