metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt5-small-MT5-Intento2
results: []
mt5-small-MT5-Intento2
This model is a fine-tuned version of google/mt5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: nan
- Rouge1: 3.9645
- Rouge2: 0.8023
- Rougel: 3.8615
- Rougelsum: 3.8591
- Gen Len: 13.7379
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: 0.01
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 0.0 | 1.0 | 1509 | nan | 3.9645 | 0.8023 | 3.8615 | 3.8591 | 13.7379 |
| 0.0 | 2.0 | 3018 | nan | 3.9645 | 0.8023 | 3.8615 | 3.8591 | 13.7379 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.12.1+cu113
- Datasets 2.7.1
- Tokenizers 0.13.2