metadata
library_name: transformers
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
metrics:
- precision
- recall
model-index:
- name: FLANT5_base
results: []
FLANT5_base
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: 0.1042
- Bleu Score: 24.4829
- Precision: 5.4958
- Recall: 5.4958
- Gen Len: 18.816
- Err: 5.4958
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: 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 | Bleu Score | Precision | Recall | Gen Len | Err |
|---|---|---|---|---|---|---|---|---|
| 0.2337 | 1.0 | 419 | 0.1422 | 23.4722 | 4.0621 | 4.0621 | 18.8088 | 4.0621 |
| 0.1441 | 2.0 | 838 | 0.1186 | 24.2104 | 5.4958 | 5.4958 | 18.8041 | 5.4958 |
| 0.1185 | 3.0 | 1257 | 0.1077 | 24.3846 | 5.3763 | 5.3763 | 18.8124 | 5.3763 |
| 0.1069 | 4.0 | 1676 | 0.1042 | 24.4829 | 5.4958 | 5.4958 | 18.816 | 5.4958 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0