metadata
library_name: transformers
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mitigation_recommender_flanT5base
results: []
mitigation_recommender_flanT5base
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: 2.9726
- Rouge1: 0.3336
- Rouge2: 0.1351
- Rougel: 0.2764
- Rougelsum: 0.2798
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 14 | 3.1216 | 0.3261 | 0.1277 | 0.2796 | 0.2869 |
| No log | 2.0 | 28 | 2.9726 | 0.3336 | 0.1351 | 0.2764 | 0.2798 |
| No log | 3.0 | 42 | 3.0057 | 0.3550 | 0.1551 | 0.2937 | 0.3017 |
| No log | 4.0 | 56 | 3.1233 | 0.3455 | 0.1439 | 0.2865 | 0.2946 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1