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

# loose_balanced_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: 3.1956
- 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: 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 |
|:-------------:|:-------:|:-----:|:---------------:|:--------:|
| 5.9736        | 0.9994  | 1485  | 4.4156          | 0.2928   |
| 4.3066        | 1.9995  | 2971  | 3.9060          | 0.3332   |
| 3.6797        | 2.9996  | 4457  | 3.6355          | 0.3566   |
| 3.4925        | 3.9997  | 5943  | 3.4738          | 0.3709   |
| 3.2645        | 4.9997  | 7429  | 3.3761          | 0.3799   |
| 3.1915        | 5.9998  | 8915  | 3.3184          | 0.3856   |
| 3.0832        | 6.9999  | 10401 | 3.2787          | 0.3894   |
| 3.0425        | 8.0     | 11887 | 3.2506          | 0.3924   |
| 2.9847        | 8.9994  | 13372 | 3.2324          | 0.3942   |
| 2.9552        | 9.9995  | 14858 | 3.2234          | 0.3955   |
| 2.9204        | 10.9996 | 16344 | 3.2134          | 0.3966   |
| 2.8999        | 11.9997 | 17830 | 3.2045          | 0.3980   |
| 2.8789        | 12.9997 | 19316 | 3.2006          | 0.3985   |
| 2.8601        | 13.9998 | 20802 | 3.1995          | 0.3984   |
| 2.8494        | 14.9999 | 22288 | 3.1956          | 0.3990   |
| 2.8313        | 16.0    | 23774 | 3.1950          | 0.3997   |
| 2.8307        | 16.9994 | 25259 | 3.1953          | 0.3998   |
| 2.81          | 17.9995 | 26745 | 3.1945          | 0.4002   |
| 2.8189        | 18.9996 | 28231 | 3.1877          | 0.4007   |
| 2.7972        | 19.9882 | 29700 | 3.1956          | 0.4006   |


### Framework versions

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