metadata
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: t5-small-finetuned-NL2ModelioMQ
results: []
t5-small-finetuned-NL2ModelioMQ
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.5534
- Rouge2 Precision: 0.0
- Rouge2 Recall: 0.0
- Rouge2 Fmeasure: 0.0
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: 5e-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: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
|---|---|---|---|---|---|---|
| No log | 1.0 | 1 | 5.4054 | 0.0 | 0.0 | 0.0 |
| No log | 2.0 | 2 | 5.4054 | 0.0 | 0.0 | 0.0 |
| No log | 3.0 | 3 | 4.5700 | 0.0 | 0.0 | 0.0 |
| No log | 4.0 | 4 | 3.8548 | 0.0 | 0.0 | 0.0 |
| No log | 5.0 | 5 | 3.5534 | 0.0 | 0.0 | 0.0 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.2