metadata
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: results
results: []
results
This model is a fine-tuned version of google/flan-t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1086
- Rouge1: 0.4487
- Rouge2: 0.2809
- Rougel: 0.4097
- Rougelsum: 0.4110
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: 0.0003
- train_batch_size: 8
- eval_batch_size: 4
- 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 |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 67 | 1.4667 | 0.3682 | 0.1743 | 0.3295 | 0.3298 |
| No log | 2.0 | 134 | 1.2361 | 0.4035 | 0.2159 | 0.3666 | 0.3647 |
| No log | 3.0 | 201 | 1.1369 | 0.4482 | 0.2765 | 0.3971 | 0.3966 |
| No log | 4.0 | 268 | 1.0996 | 0.4526 | 0.2926 | 0.4106 | 0.4126 |
| No log | 5.0 | 335 | 1.1086 | 0.4487 | 0.2809 | 0.4097 | 0.4110 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2