metadata
tags:
- generated_from_trainer
model-index:
- name: home/suika/bin/axolotl/OUT-perscengen/
results: []
home/suika/bin/axolotl/OUT-perscengen/
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.8290
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: 0.00025
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 8
- total_eval_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 10
- num_epochs: 2
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
1.992 | 0.06 | 15 | 1.8884 |
1.8026 | 0.12 | 30 | 1.8655 |
1.7713 | 0.19 | 45 | 1.8539 |
1.7145 | 0.25 | 60 | 1.8502 |
1.6686 | 0.31 | 75 | 1.8507 |
1.8409 | 0.37 | 90 | 1.8469 |
1.7741 | 0.44 | 105 | 1.8434 |
1.7384 | 0.5 | 120 | 1.8407 |
1.7562 | 0.56 | 135 | 1.8390 |
1.7392 | 0.62 | 150 | 1.8373 |
1.8735 | 0.68 | 165 | 1.8381 |
1.8406 | 0.75 | 180 | 1.8377 |
1.6602 | 0.81 | 195 | 1.8350 |
1.7803 | 0.87 | 210 | 1.8341 |
1.7212 | 0.93 | 225 | 1.8329 |
1.8126 | 1.0 | 240 | 1.8330 |
1.8776 | 1.06 | 255 | 1.8314 |
1.7892 | 1.12 | 270 | 1.8328 |
1.7029 | 1.18 | 285 | 1.8338 |
1.7094 | 1.24 | 300 | 1.8322 |
1.7921 | 1.31 | 315 | 1.8310 |
1.8309 | 1.37 | 330 | 1.8316 |
1.7373 | 1.43 | 345 | 1.8309 |
1.7873 | 1.49 | 360 | 1.8313 |
1.7151 | 1.56 | 375 | 1.8306 |
1.7529 | 1.62 | 390 | 1.8300 |
1.7516 | 1.68 | 405 | 1.8293 |
1.7704 | 1.74 | 420 | 1.8294 |
1.6351 | 1.8 | 435 | 1.8290 |
1.6186 | 1.87 | 450 | 1.8291 |
1.7086 | 1.93 | 465 | 1.8295 |
1.6595 | 1.99 | 480 | 1.8290 |
Framework versions
- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.0