metadata
library_name: transformers
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: FR_50000_41
results: []
FR_50000_41
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.8694
- Accuracy: 0.3239
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: 0.0006
- train_batch_size: 32
- eval_batch_size: 32
- seed: 41
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 10.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 959 | 4.9203 | 0.2201 |
| 1.251 | 2.0 | 1918 | 4.4766 | 0.2658 |
| 1.0398 | 3.0 | 2877 | 4.3036 | 0.2796 |
| 0.978 | 4.0 | 3836 | 4.2015 | 0.2879 |
| 0.9464 | 5.0 | 4795 | 4.1312 | 0.2941 |
| 0.9242 | 6.0 | 5754 | 4.0540 | 0.3038 |
| 0.9027 | 7.0 | 6713 | 3.9988 | 0.3076 |
| 0.8825 | 8.0 | 7672 | 3.9320 | 0.3171 |
| 0.8632 | 9.0 | 8631 | 3.8911 | 0.3207 |
| 0.8454 | 10.0 | 9590 | 3.8694 | 0.3239 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.5.1+cu121
- Datasets 3.6.0
- Tokenizers 0.21.1