metadata
library_name: transformers
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: FR_30000_41
results: []
FR_30000_41
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.7585
- Accuracy: 0.3321
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 | 976 | 4.7817 | 0.2336 |
| 1.2461 | 2.0 | 1952 | 4.3996 | 0.2655 |
| 1.0362 | 3.0 | 2928 | 4.2040 | 0.2850 |
| 0.9715 | 4.0 | 3904 | 4.0976 | 0.2939 |
| 0.9346 | 5.0 | 4880 | 4.0111 | 0.3034 |
| 0.9069 | 6.0 | 5856 | 3.9493 | 0.3088 |
| 0.8835 | 7.0 | 6832 | 3.8856 | 0.3171 |
| 0.8622 | 8.0 | 7808 | 3.8233 | 0.3234 |
| 0.8415 | 9.0 | 8784 | 3.7798 | 0.3297 |
| 0.8265 | 10.0 | 9760 | 3.7585 | 0.3321 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.5.1+cu121
- Datasets 3.6.0
- Tokenizers 0.21.1