---
library_name: transformers
license: other
base_model: THUDM/glm-4-9b-chat
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: system_glm
  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. -->

# system_glm

This model is a fine-tuned version of [THUDM/glm-4-9b-chat](https://huggingface.co/THUDM/glm-4-9b-chat) on the web_policy_sft_with_system dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1866

## 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: 2
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- total_eval_batch_size: 8
- 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: 0.1
- num_epochs: 1

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.8468        | 0.7505 | 50   | 0.2018          |


### Framework versions

- Transformers 4.47.1
- Pytorch 2.6.0+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0