metadata
license: apache-2.0
base_model: google/mt5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt5-base-headline_WithIp_category_only
results: []
mt5-base-headline_WithIp_category_only
This model is a fine-tuned version of google/mt5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6868
- Rouge1: 0.0
- Rouge2: 0.0
- Rougel: 0.0
- Rougelsum: 0.0
- Gen Len: 16.2159
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 |
|---|---|---|---|---|---|---|---|---|
| 1.4787 | 1.0 | 202 | 0.9520 | 0.0 | 0.0 | 0.0 | 0.0 | 15.129 |
| 0.77 | 2.0 | 404 | 0.7992 | 0.0 | 0.0 | 0.0 | 0.0 | 15.4442 |
| 0.7207 | 3.0 | 606 | 0.7263 | 0.0 | 0.0 | 0.0 | 0.0 | 16.2531 |
| 0.6078 | 4.0 | 808 | 0.6868 | 0.0 | 0.0 | 0.0 | 0.0 | 16.2159 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1