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

# long_first_headfinal_seed-63_1e-3

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 5.1385
- Accuracy: 0.1992

## 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 |
|:-------------:|:-------:|:-----:|:---------------:|:--------:|
| 6.136         | 0.9994  | 1470  | 5.5155          | 0.1759   |
| 4.5192        | 1.9992  | 2940  | 5.3994          | 0.1849   |
| 3.8912        | 2.9991  | 4410  | 5.2905          | 0.1867   |
| 3.7139        | 3.9996  | 5881  | 5.2149          | 0.1951   |
| 3.4884        | 4.9994  | 7351  | 5.1594          | 0.1973   |
| 3.4101        | 5.9992  | 8821  | 5.1296          | 0.2025   |
| 3.3062        | 6.9991  | 10291 | 5.1459          | 0.1937   |
| 3.2596        | 7.9996  | 11762 | 5.1509          | 0.1967   |
| 3.2055        | 8.9994  | 13232 | 5.0996          | 0.2014   |
| 3.1686        | 9.9992  | 14702 | 5.1043          | 0.2000   |
| 3.1453        | 10.9991 | 16172 | 5.0935          | 0.2006   |
| 3.1092        | 11.9996 | 17643 | 5.0770          | 0.2010   |
| 3.1047        | 12.9994 | 19113 | 5.0922          | 0.2011   |
| 3.0688        | 13.9992 | 20583 | 5.0953          | 0.2020   |
| 3.0784        | 14.9991 | 22053 | 5.1038          | 0.2010   |
| 3.0404        | 15.9996 | 23524 | 5.0954          | 0.2020   |
| 3.0417        | 16.9994 | 24994 | 5.1111          | 0.1999   |
| 3.0187        | 17.9992 | 26464 | 5.1096          | 0.2008   |
| 3.0244        | 18.9991 | 27934 | 5.0990          | 0.2001   |
| 3.0117        | 19.9962 | 29400 | 5.1385          | 0.1992   |


### Framework versions

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