metadata
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: subset_model_flan_t5_html
results: []
subset_model_flan_t5_html
This model is a fine-tuned version of google/flan-t5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: nan
- Rouge1: 0.2222
- Rouge2: 0.0385
- Rougel: 0.0741
- Rougelsum: 0.0741
- Gen Len: 18.0
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: 0.0002
- 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
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 1 | nan | 0.2222 | 0.0385 | 0.0741 | 0.0741 | 18.0 |
| No log | 2.0 | 2 | nan | 0.2222 | 0.0385 | 0.0741 | 0.0741 | 18.0 |
| No log | 3.0 | 3 | nan | 0.2222 | 0.0385 | 0.0741 | 0.0741 | 18.0 |
| No log | 4.0 | 4 | nan | 0.2222 | 0.0385 | 0.0741 | 0.0741 | 18.0 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3