|
--- |
|
license: apache-2.0 |
|
base_model: google/mt5-base |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- rouge |
|
model-index: |
|
- name: mt5-base-headline_WithIp_Aspect_Only |
|
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. --> |
|
|
|
# mt5-base-headline_WithIp_Aspect_Only |
|
|
|
This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.6737 |
|
- Rouge1: 0.0 |
|
- Rouge2: 0.0 |
|
- Rougel: 0.0 |
|
- Rougelsum: 0.0 |
|
- Gen Len: 16.3995 |
|
|
|
## 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: 5 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
|
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:| |
|
| 2.5494 | 1.0 | 202 | 2.7174 | 0.0 | 0.0 | 0.0 | 0.0 | 2.9007 | |
|
| 0.8571 | 2.0 | 404 | 0.7817 | 0.0 | 0.0 | 0.0 | 0.0 | 14.8213 | |
|
| 0.7374 | 3.0 | 606 | 0.6919 | 0.0 | 0.0 | 0.0 | 0.0 | 16.0223 | |
|
| 0.6602 | 4.0 | 808 | 0.6737 | 0.0 | 0.0 | 0.0 | 0.0 | 16.3995 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.42.4 |
|
- Pytorch 2.3.1+cu121 |
|
- Datasets 2.20.0 |
|
- Tokenizers 0.19.1 |
|
|
