metadata
tags:
- generated_from_trainer
datasets:
- xtreme_s
metrics:
- bleu
model-index:
- name: ''
results: []
This model was trained from scratch on the xtreme_s dataset. It achieves the following results on the evaluation set:
- Bleu: 0.0000
- Loss: 3.0511
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: 0.00023215434357723729
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 3.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Bleu | Validation Loss |
|---|---|---|---|---|
| 3.1046 | 0.15 | 500 | 0.0 | 5.5272 |
| 3.0735 | 0.31 | 1000 | 0.0000 | 5.5994 |
| 2.9879 | 0.46 | 1500 | 0.0 | 5.2181 |
| 2.9617 | 0.62 | 2000 | 0.0 | 4.9660 |
| 2.8816 | 0.77 | 2500 | 0.0 | 4.6292 |
| 2.5174 | 0.93 | 3000 | 0.0 | 4.6497 |
| 4.1027 | 1.08 | 3500 | 0.0 | 4.3291 |
| 3.8403 | 1.23 | 4000 | 0.0000 | 4.2548 |
| 4.0396 | 1.39 | 4500 | 0.0 | 4.2812 |
| 3.856 | 1.54 | 5000 | 0.0000 | 4.1702 |
| 3.6918 | 1.7 | 5500 | 0.0000 | 4.1578 |
| 3.4118 | 1.85 | 6000 | 0.0000 | 4.1312 |
| 2.9148 | 2.01 | 6500 | 0.0000 | 4.0282 |
| 2.6245 | 2.16 | 7000 | 0.0000 | 4.0361 |
| 2.4924 | 2.31 | 7500 | 0.0000 | 3.8836 |
| 2.6693 | 2.47 | 8000 | 0.0000 | 3.5585 |
| 2.0685 | 2.62 | 8500 | 0.0000 | 3.2877 |
| 2.1419 | 2.78 | 9000 | 0.0000 | 3.1468 |
| 1.9175 | 2.93 | 9500 | 0.0000 | 3.0511 |
Framework versions
- Transformers 4.19.0.dev0
- Pytorch 1.10.2+cu113
- Datasets 2.1.1.dev0
- Tokenizers 0.11.0