metadata
tags:
- generated_from_trainer
datasets:
- oscar-corpus/OSCAR-2109
model-index:
- name: runs
results: []
runs
This model was trained from scratch on the oscar-corpus/OSCAR-2109 deduplicated_lo dataset. It achieves the following results on the evaluation set:
- Loss: 1.4556
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: 0.0002
- train_batch_size: 128
- eval_batch_size: 128
- seed: 42
- distributed_type: tpu
- num_devices: 8
- total_train_batch_size: 1024
- total_eval_batch_size: 1024
- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 30.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 216 | 5.8586 |
| No log | 2.0 | 432 | 5.5095 |
| 6.688 | 3.0 | 648 | 5.3976 |
| 6.688 | 4.0 | 864 | 5.3562 |
| 5.3629 | 5.0 | 1080 | 5.2912 |
| 5.3629 | 6.0 | 1296 | 5.2385 |
| 5.22 | 7.0 | 1512 | 5.1955 |
| 5.22 | 8.0 | 1728 | 5.1785 |
| 5.22 | 9.0 | 1944 | 5.1327 |
| 5.1248 | 10.0 | 2160 | 5.1243 |
| 5.1248 | 11.0 | 2376 | 5.0889 |
| 5.0591 | 12.0 | 2592 | 5.0732 |
| 5.0591 | 13.0 | 2808 | 5.0417 |
| 5.0094 | 14.0 | 3024 | 5.0388 |
| 5.0094 | 15.0 | 3240 | 4.9299 |
| 5.0094 | 16.0 | 3456 | 4.2991 |
| 4.7527 | 17.0 | 3672 | 3.6541 |
| 4.7527 | 18.0 | 3888 | 2.7826 |
| 3.4431 | 19.0 | 4104 | 2.2796 |
| 3.4431 | 20.0 | 4320 | 2.0213 |
| 2.2803 | 21.0 | 4536 | 1.8809 |
| 2.2803 | 22.0 | 4752 | 1.7615 |
| 2.2803 | 23.0 | 4968 | 1.6925 |
| 1.8601 | 24.0 | 5184 | 1.6205 |
| 1.8601 | 25.0 | 5400 | 1.5751 |
| 1.6697 | 26.0 | 5616 | 1.5391 |
| 1.6697 | 27.0 | 5832 | 1.5200 |
| 1.5655 | 28.0 | 6048 | 1.4866 |
| 1.5655 | 29.0 | 6264 | 1.4656 |
| 1.5655 | 30.0 | 6480 | 1.4627 |
Framework versions
- Transformers 4.13.0.dev0
- Pytorch 1.9.0+cu102
- Datasets 1.16.1
- Tokenizers 0.10.3