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---
library_name: transformers
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: counterfactual_seed-21_1e-3
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# counterfactual_seed-21_1e-3
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.1823
- Accuracy: 0.4006
## 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: 21
- gradient_accumulation_steps: 8
- total_train_batch_size: 256
- optimizer: Use OptimizerNames.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: 32000
- num_epochs: 20.0
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-------:|:-----:|:---------------:|:--------:|
| 5.989 | 0.9994 | 1486 | 4.4159 | 0.2934 |
| 4.3089 | 1.9992 | 2972 | 3.9080 | 0.3322 |
| 3.7012 | 2.9991 | 4458 | 3.6264 | 0.3562 |
| 3.5317 | 3.9996 | 5945 | 3.4692 | 0.3708 |
| 3.3115 | 4.9994 | 7431 | 3.3732 | 0.3799 |
| 3.2381 | 5.9992 | 8917 | 3.3111 | 0.3859 |
| 3.1324 | 6.9991 | 10403 | 3.2706 | 0.3900 |
| 3.0931 | 7.9996 | 11890 | 3.2468 | 0.3921 |
| 3.0318 | 8.9994 | 13376 | 3.2260 | 0.3944 |
| 3.0079 | 9.9992 | 14862 | 3.2155 | 0.3960 |
| 2.9696 | 10.9991 | 16348 | 3.2068 | 0.3968 |
| 2.9483 | 11.9996 | 17835 | 3.2019 | 0.3973 |
| 2.9289 | 12.9994 | 19321 | 3.2017 | 0.3978 |
| 2.9089 | 13.9992 | 20807 | 3.1979 | 0.3988 |
| 2.9 | 14.9991 | 22293 | 3.1900 | 0.3990 |
| 2.8805 | 15.9996 | 23780 | 3.1883 | 0.3997 |
| 2.8807 | 16.9994 | 25266 | 3.1876 | 0.3999 |
| 2.8605 | 17.9992 | 26752 | 3.1893 | 0.3999 |
| 2.8688 | 18.9991 | 28238 | 3.1880 | 0.4002 |
| 2.8484 | 19.9962 | 29720 | 3.1823 | 0.4006 |
### Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.20.0
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