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

# noditrans_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: 3.5107
- Accuracy: 0.3634

## 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 |
|:-------------:|:-------:|:-----:|:---------------:|:--------:|
| 6.0721        | 0.9999  | 1507  | 4.5216          | 0.2803   |
| 4.1353        | 1.9998  | 3014  | 4.0893          | 0.3122   |
| 3.94          | 2.9998  | 4521  | 3.8747          | 0.3281   |
| 3.7064        | 3.9997  | 6028  | 3.7568          | 0.3374   |
| 3.6181        | 4.9996  | 7535  | 3.6738          | 0.3454   |
| 3.5108        | 5.9995  | 9042  | 3.6136          | 0.3513   |
| 3.4484        | 6.9994  | 10549 | 3.5901          | 0.3528   |
| 3.395         | 8.0     | 12057 | 3.5658          | 0.3555   |
| 3.3481        | 8.9999  | 13564 | 3.5571          | 0.3568   |
| 3.326         | 9.9998  | 15071 | 3.5395          | 0.3584   |
| 3.2846        | 10.9998 | 16578 | 3.5257          | 0.3602   |
| 3.2805        | 11.9997 | 18085 | 3.5198          | 0.3609   |
| 3.2426        | 12.9996 | 19592 | 3.5322          | 0.3596   |
| 3.2487        | 13.9995 | 21099 | 3.5246          | 0.3614   |
| 3.2137        | 14.9994 | 22606 | 3.5166          | 0.3618   |
| 3.2257        | 16.0    | 24114 | 3.5283          | 0.3608   |
| 3.1932        | 16.9999 | 25621 | 3.5097          | 0.3632   |
| 3.2104        | 17.9998 | 27128 | 3.5262          | 0.3601   |
| 3.1805        | 18.9998 | 28635 | 3.5176          | 0.3619   |
| 3.1995        | 19.9983 | 30140 | 3.5107          | 0.3634   |


### Framework versions

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