|
--- |
|
license: apache-2.0 |
|
base_model: t5-base |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: rat-t5-qdmr-grounded-with-db |
|
results: [] |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# rat-t5-qdmr-grounded-with-db |
|
|
|
This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.1317 |
|
|
|
## 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: 5e-05 |
|
- train_batch_size: 1 |
|
- eval_batch_size: 4 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 2 |
|
- total_train_batch_size: 2 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- training_steps: 20000 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| 0.7551 | 0.23 | 500 | 0.3197 | |
|
| 0.3105 | 0.46 | 1000 | 0.2357 | |
|
| 0.2423 | 0.69 | 1500 | 0.1971 | |
|
| 0.2029 | 0.92 | 2000 | 0.1769 | |
|
| 0.1575 | 1.16 | 2500 | 0.1655 | |
|
| 0.1403 | 1.39 | 3000 | 0.1471 | |
|
| 0.1318 | 1.62 | 3500 | 0.1415 | |
|
| 0.1297 | 1.85 | 4000 | 0.1312 | |
|
| 0.1143 | 2.08 | 4500 | 0.1317 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.33.0 |
|
- Pytorch 2.0.1+cu118 |
|
- Datasets 2.14.4 |
|
- Tokenizers 0.13.3 |
|
|
