metadata
license: apache-2.0
base_model: t5-base
tags:
- generated_from_trainer
metrics:
- bleu
- wer
model-index:
- name: 100pos_model
results: []
100pos_model
This model is a fine-tuned version of t5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: nan
- Bleu: 0.0
- Wer: 1.0
- Rougel: 0.0
- Gen Len: 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: 2e-05
- 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: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Wer | Rougel | Gen Len |
|---|---|---|---|---|---|---|---|
| 5.5242 | 0.16 | 1000 | nan | 0.0 | 1.0 | 0.0 | 0.0 |
| 0.0 | 0.32 | 2000 | nan | 0.0 | 1.0 | 0.0 | 0.0 |
| 0.0 | 0.48 | 3000 | nan | 0.0 | 1.0 | 0.0 | 0.0 |
| 0.0 | 0.64 | 4000 | nan | 0.0 | 1.0 | 0.0 | 0.0 |
| 0.0 | 0.8 | 5000 | nan | 0.0 | 1.0 | 0.0 | 0.0 |
| 0.0 | 0.96 | 6000 | nan | 0.0 | 1.0 | 0.0 | 0.0 |
| 0.0 | 1.12 | 7000 | nan | 0.0 | 1.0 | 0.0 | 0.0 |
| 0.0 | 1.28 | 8000 | nan | 0.0 | 1.0 | 0.0 | 0.0 |
| 0.0 | 1.44 | 9000 | nan | 0.0 | 1.0 | 0.0 | 0.0 |
| 0.0 | 1.6 | 10000 | nan | 0.0 | 1.0 | 0.0 | 0.0 |
| 0.0 | 1.76 | 11000 | nan | 0.0 | 1.0 | 0.0 | 0.0 |
| 0.0 | 1.92 | 12000 | nan | 0.0 | 1.0 | 0.0 | 0.0 |
Framework versions
- Transformers 4.37.1
- Pytorch 2.3.0.dev20240122+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1