---
library_name: transformers
license: other
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: sft
  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. -->

# sft

This model is a fine-tuned version of the local competition base model on the kuaishou_seed_train dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7658

## 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: 1e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- total_eval_batch_size: 4
- 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: cosine
- lr_scheduler_warmup_steps: 0.03
- num_epochs: 3.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.1814        | 0.5185 | 500  | 1.2199          |
| 0.9387        | 1.0363 | 1000 | 1.0034          |
| 0.7721        | 1.5548 | 1500 | 0.8802          |
| 0.5989        | 2.0726 | 2000 | 0.8023          |
| 0.5697        | 2.5911 | 2500 | 0.7709          |
| 0.6001        | 3.0    | 2895 | 0.7658          |


### Framework versions

- Transformers 5.6.0
- Pytorch 2.6.0+cu124
- Datasets 4.0.0
- Tokenizers 0.22.2