metadata
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-t5-small-chat
results: []
flan-t5-small-chat
This model is a fine-tuned version of google/flan-t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0455
- Rouge1: 93.7107
- Rouge2: 87.4214
- Rougel: 93.7107
- Rougelsum: 93.7107
- Gen Len: 3.0
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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 318 | 0.0494 | 93.5535 | 87.1069 | 93.5535 | 93.5535 | 3.0 |
| 0.0889 | 2.0 | 636 | 0.0468 | 93.5535 | 87.1069 | 93.5535 | 93.5535 | 3.0 |
| 0.0889 | 3.0 | 954 | 0.0447 | 94.4182 | 88.8365 | 94.4182 | 94.4182 | 3.0 |
| 0.0448 | 4.0 | 1272 | 0.0455 | 93.7107 | 87.4214 | 93.7107 | 93.7107 | 3.0 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0
- Datasets 2.14.6
- Tokenizers 0.14.1