---
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: fft-skywork-pretrained-net
  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. -->

# fft-skywork-pretrained-net

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7363
- Acc: 0.5440
- Log Loss: 0.7365

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 64
- total_eval_batch_size: 64
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss | Acc    | Log Loss |
|:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|
| 0.7659        | 1.0   | 606  | 0.7363          | 0.5440 | 0.7365   |


### Framework versions

- Transformers 4.48.1
- Pytorch 2.6.0+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0