|
|
--- |
|
|
license: apache-2.0 |
|
|
base_model: aparajitha/t5-small-sci |
|
|
tags: |
|
|
- generated_from_trainer |
|
|
model-index: |
|
|
- name: t5-small-sci-ms-fl |
|
|
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. --> |
|
|
|
|
|
# t5-small-sci-ms-fl |
|
|
|
|
|
This model is a fine-tuned version of [aparajitha/t5-small-sci](https://huggingface.co/aparajitha/t5-small-sci) on the None dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 3.1136 |
|
|
|
|
|
## 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: 2e-05 |
|
|
- train_batch_size: 4 |
|
|
- eval_batch_size: 4 |
|
|
- seed: 42 |
|
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
|
- lr_scheduler_type: linear |
|
|
- num_epochs: 6 |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|
|:-------------:|:-----:|:----:|:---------------:| |
|
|
| 3.7268 | 1.0 | 547 | 3.3195 | |
|
|
| 3.5372 | 2.0 | 1094 | 3.2204 | |
|
|
| 3.4567 | 3.0 | 1641 | 3.1673 | |
|
|
| 3.3928 | 4.0 | 2188 | 3.1344 | |
|
|
| 3.3792 | 5.0 | 2735 | 3.1188 | |
|
|
| 3.3477 | 6.0 | 3282 | 3.1136 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.43.4 |
|
|
- Pytorch 1.13.1 |
|
|
- Datasets 2.12.0 |
|
|
- Tokenizers 0.19.1 |
|
|
|
