---
library_name: transformers
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: nodative_cf_seed-63_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. -->

# nodative_cf_seed-63_1e-3

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.1546
- Accuracy: 0.4039

## 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: 63
- 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 |
|:-------------:|:-------:|:-----:|:---------------:|:--------:|
| 5.9916        | 0.9998  | 1490  | 4.3949          | 0.2949   |
| 4.3216        | 1.9997  | 2980  | 3.8825          | 0.3350   |
| 3.6895        | 2.9995  | 4470  | 3.6027          | 0.3586   |
| 3.5069        | 4.0     | 5961  | 3.4428          | 0.3740   |
| 3.2821        | 4.9998  | 7451  | 3.3414          | 0.3834   |
| 3.2066        | 5.9997  | 8941  | 3.2829          | 0.3888   |
| 3.0992        | 6.9995  | 10431 | 3.2434          | 0.3929   |
| 3.0599        | 8.0     | 11922 | 3.2210          | 0.3953   |
| 2.9981        | 8.9998  | 13412 | 3.1978          | 0.3975   |
| 2.9771        | 9.9997  | 14902 | 3.1883          | 0.3988   |
| 2.9355        | 10.9995 | 16392 | 3.1820          | 0.3998   |
| 2.9223        | 12.0    | 17883 | 3.1726          | 0.4008   |
| 2.8938        | 12.9998 | 19373 | 3.1647          | 0.4019   |
| 2.8825        | 13.9997 | 20863 | 3.1646          | 0.4019   |
| 2.8661        | 14.9995 | 22353 | 3.1594          | 0.4030   |
| 2.8555        | 16.0    | 23844 | 3.1606          | 0.4030   |
| 2.8487        | 16.9998 | 25334 | 3.1576          | 0.4033   |
| 2.8342        | 17.9997 | 26824 | 3.1580          | 0.4036   |
| 2.8345        | 18.9995 | 28314 | 3.1599          | 0.4034   |
| 2.8234        | 19.9966 | 29800 | 3.1546          | 0.4039   |


### Framework versions

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