metadata
library_name: transformers
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: baseline_seed-42_1e-3
results: []
baseline_seed-42_1e-3
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.1495
- Accuracy: 0.4121
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: 0.001
- train_batch_size: 32
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 32000
- num_epochs: 20.0
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
3.6536 | 1.0 | 17459 | 3.6063 | 0.3536 |
3.4313 | 2.0 | 34918 | 3.3959 | 0.3757 |
3.2641 | 3.0 | 52377 | 3.2704 | 0.3901 |
3.1763 | 4.0 | 69836 | 3.2136 | 0.3968 |
3.1125 | 5.0 | 87295 | 3.1768 | 0.4015 |
3.0607 | 6.0 | 104754 | 3.1599 | 0.4039 |
3.0231 | 7.0 | 122213 | 3.1423 | 0.4063 |
2.986 | 8.0 | 139672 | 3.1343 | 0.4077 |
2.9519 | 9.0 | 157131 | 3.1277 | 0.4090 |
2.9272 | 10.0 | 174590 | 3.1228 | 0.4100 |
2.9034 | 11.0 | 192049 | 3.1221 | 0.4106 |
2.8763 | 12.0 | 209508 | 3.1221 | 0.4111 |
2.851 | 13.0 | 226967 | 3.1256 | 0.4114 |
2.8383 | 14.0 | 244426 | 3.1238 | 0.4119 |
2.8084 | 15.0 | 261885 | 3.1268 | 0.4121 |
2.7877 | 16.0 | 279344 | 3.1320 | 0.4121 |
2.7651 | 17.0 | 296803 | 3.1339 | 0.4122 |
2.7424 | 18.0 | 314262 | 3.1409 | 0.4121 |
2.7208 | 19.0 | 331721 | 3.1441 | 0.4121 |
2.7009 | 20.0 | 349180 | 3.1495 | 0.4121 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.1+cu121
- Datasets 2.19.1
- Tokenizers 0.20.0