|
--- |
|
license: apache-2.0 |
|
base_model: t5-base |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- rouge |
|
model-index: |
|
- name: t5-base-Clakmann-thesis-epoch10 |
|
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-base-Clakmann-thesis-epoch10 |
|
|
|
This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.5727 |
|
- Rouge1: 0.2268 |
|
- Rouge2: 0.0853 |
|
- Rougel: 0.215 |
|
- Rougelsum: 0.2157 |
|
- Gen Len: 14.2621 |
|
|
|
## 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: 10 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
|
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:| |
|
| 1.8844 | 1.0 | 5029 | 1.6766 | 0.2148 | 0.0756 | 0.2044 | 0.2045 | 13.7397 | |
|
| 1.7073 | 2.0 | 10058 | 1.6168 | 0.2196 | 0.0792 | 0.2099 | 0.2102 | 13.8238 | |
|
| 1.6487 | 3.0 | 15087 | 1.5948 | 0.2199 | 0.0794 | 0.209 | 0.2091 | 14.3399 | |
|
| 1.5773 | 4.0 | 20116 | 1.5800 | 0.2252 | 0.0816 | 0.2157 | 0.2164 | 13.9383 | |
|
| 1.5114 | 5.0 | 25145 | 1.5770 | 0.2229 | 0.0798 | 0.212 | 0.2126 | 14.2567 | |
|
| 1.4688 | 6.0 | 30174 | 1.5703 | 0.2255 | 0.0848 | 0.2158 | 0.2164 | 13.9973 | |
|
| 1.4283 | 7.0 | 35203 | 1.5673 | 0.2237 | 0.0834 | 0.2125 | 0.2129 | 14.0966 | |
|
| 1.4166 | 8.0 | 40232 | 1.5702 | 0.2276 | 0.0866 | 0.2153 | 0.2159 | 14.3453 | |
|
| 1.3978 | 9.0 | 45261 | 1.5706 | 0.2274 | 0.0864 | 0.216 | 0.2166 | 14.2272 | |
|
| 1.3688 | 10.0 | 50290 | 1.5727 | 0.2268 | 0.0853 | 0.215 | 0.2157 | 14.2621 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.31.0 |
|
- Pytorch 2.0.1+cu118 |
|
- Datasets 2.14.4 |
|
- Tokenizers 0.13.3 |
|
|
