metadata
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: results_new
results: []
results_new
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: 2.1269
- Rouge1: 0.3870
- Rouge2: 0.1916
- Rougel: 0.3593
- Rougelsum: 0.3586
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: 0.0001
- 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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 9 | 2.1682 | 0.3687 | 0.1693 | 0.3411 | 0.3431 |
| No log | 2.0 | 18 | 2.1143 | 0.4078 | 0.2056 | 0.3808 | 0.3839 |
| No log | 3.0 | 27 | 2.1103 | 0.4159 | 0.2086 | 0.3826 | 0.3819 |
| No log | 4.0 | 36 | 2.1055 | 0.3910 | 0.2037 | 0.3696 | 0.3674 |
| No log | 5.0 | 45 | 2.0927 | 0.3841 | 0.1969 | 0.3631 | 0.3626 |
| No log | 6.0 | 54 | 2.0996 | 0.3726 | 0.1947 | 0.3545 | 0.3535 |
| No log | 7.0 | 63 | 2.1051 | 0.3757 | 0.1975 | 0.3571 | 0.3563 |
| No log | 8.0 | 72 | 2.1163 | 0.3897 | 0.1929 | 0.3667 | 0.3652 |
| No log | 9.0 | 81 | 2.1240 | 0.3836 | 0.1950 | 0.3554 | 0.3542 |
| No log | 10.0 | 90 | 2.1269 | 0.3870 | 0.1916 | 0.3593 | 0.3586 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.2+cpu
- Datasets 2.18.0
- Tokenizers 0.15.2