|
--- |
|
license: cc-by-sa-4.0 |
|
base_model: p1atdev/t5-base-xlsum-ja |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- rouge |
|
model-index: |
|
- name: Megagon_step3 |
|
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. --> |
|
|
|
# Megagon_step3 |
|
|
|
This model is a fine-tuned version of [p1atdev/t5-base-xlsum-ja](https://huggingface.co/p1atdev/t5-base-xlsum-ja) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.1857 |
|
- Rouge1: 0.2252 |
|
- Rouge2: 0.0901 |
|
- Rougel: 0.2243 |
|
- Rougelsum: 0.2239 |
|
- Gen Len: 10.8153 |
|
|
|
## 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: 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 | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
|
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:| |
|
| No log | 1.0 | 79 | 2.2342 | 0.2695 | 0.1327 | 0.2702 | 0.2686 | 11.036 | |
|
| No log | 2.0 | 158 | 1.3641 | 0.267 | 0.1222 | 0.2674 | 0.2634 | 10.9775 | |
|
| No log | 3.0 | 237 | 1.2064 | 0.2307 | 0.099 | 0.2297 | 0.229 | 10.9324 | |
|
| No log | 4.0 | 316 | 1.1857 | 0.2252 | 0.0901 | 0.2243 | 0.2239 | 10.8153 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.34.0 |
|
- Pytorch 2.0.1+cu118 |
|
- Datasets 2.14.5 |
|
- Tokenizers 0.14.1 |
|
|
