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: 0.0941
- Bleu Score: 24.8094
- Precision: 6.0932
- Recall: 6.0932
- Gen Len: 18.8172
- Err: 6.0932
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: 8
- 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 |
|---|---|---|---|---|---|---|---|---|
| 0.2195 | 1.0 | 838 | 0.1354 | 23.689 | 5.0179 | 5.0179 | 18.7945 | 5.0179 |
| 0.1289 | 2.0 | 1676 | 0.1085 | 24.4546 | 5.7348 | 5.7348 | 18.8053 | 5.7348 |
| 0.104 | 3.0 | 2514 | 0.0969 | 24.8285 | 6.0932 | 6.0932 | 18.8112 | 6.0932 |
| 0.0906 | 4.0 | 3352 | 0.0941 | 24.8094 | 6.0932 | 6.0932 | 18.8172 | 6.0932 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0