metadata
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-t5-small_twon-debug-generative-agent
results: []
flan-t5-small_twon-debug-generative-agent
This model is a fine-tuned version of google/flan-t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.8511
- Rouge1: 9.4574
- Rouge2: 3.2143
- Rougel: 8.6333
- Rougelsum: 8.8052
- Gen Len: 18.99
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: 4e-05
- train_batch_size: 24
- eval_batch_size: 24
- 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 | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 4.2488 | 1.19 | 100 | 3.9027 | 9.2555 | 2.9689 | 8.4655 | 8.5977 | 18.988 |
| 4.0882 | 2.38 | 200 | 3.8511 | 9.4574 | 3.2143 | 8.6333 | 8.8052 | 18.99 |
| 4.021 | 3.57 | 300 | 3.8275 | 9.132 | 3.1204 | 8.3109 | 8.5109 | 18.994 |
| 4.0126 | 4.76 | 400 | 3.8172 | 9.4354 | 3.1824 | 8.5889 | 8.7927 | 18.996 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.3
- Tokenizers 0.13.3