---
library_name: transformers
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: strict_balanced_cf_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. -->

# strict_balanced_cf_seed-21_1e-3

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.1894
- Accuracy: 0.4008

## 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 |
|:-------------:|:-------:|:-----:|:---------------:|:--------:|
| 5.9825        | 0.9998  | 1486  | 4.4171          | 0.2926   |
| 4.3054        | 1.9997  | 2972  | 3.9050          | 0.3329   |
| 3.6755        | 2.9997  | 4458  | 3.6276          | 0.3573   |
| 3.4878        | 3.9996  | 5944  | 3.4715          | 0.3714   |
| 3.2604        | 4.9995  | 7430  | 3.3707          | 0.3811   |
| 3.1894        | 5.9994  | 8916  | 3.3120          | 0.3864   |
| 3.0822        | 6.9993  | 10402 | 3.2720          | 0.3903   |
| 3.0424        | 7.9999  | 11889 | 3.2489          | 0.3915   |
| 2.9835        | 8.9998  | 13375 | 3.2300          | 0.3943   |
| 2.9586        | 9.9997  | 14861 | 3.2202          | 0.3957   |
| 2.9205        | 10.9997 | 16347 | 3.2069          | 0.3972   |
| 2.901         | 11.9996 | 17833 | 3.2097          | 0.3975   |
| 2.8789        | 12.9995 | 19319 | 3.1967          | 0.3987   |
| 2.8594        | 13.9994 | 20805 | 3.1981          | 0.3986   |
| 2.8502        | 14.9993 | 22291 | 3.1954          | 0.3996   |
| 2.8349        | 15.9999 | 23778 | 3.1954          | 0.3996   |
| 2.8319        | 16.9998 | 25264 | 3.1878          | 0.4001   |
| 2.8127        | 17.9997 | 26750 | 3.1866          | 0.4005   |
| 2.8195        | 18.9997 | 28236 | 3.1900          | 0.4002   |
| 2.7995        | 19.9982 | 29720 | 3.1894          | 0.4008   |


### Framework versions

- Transformers 4.46.2
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.20.0