---
base_model: zai-org/GLM-4.7-Flash
library_name: peft
model_name: output-2
tags:
- base_model:adapter:zai-org/GLM-4.7-Flash
- lora
- sft
- transformers
- trl
licence: license
pipeline_tag: text-generation
---

# output-2

This model is a fine-tuned version of [zai-org/GLM-4.7-Flash](https://huggingface.co/zai-org/GLM-4.7-Flash).

**W&B run:** [https://wandb.ai/cooawoo-personal/huggingface/runs/ay5ml51v](https://wandb.ai/cooawoo-personal/huggingface/runs/ay5ml51v)
## Training procedure

### Hyperparameters

| Parameter | Value |
|-----------|-------|
| Learning rate | `2e-05` |
| LR scheduler | SchedulerType.COSINE |
| Per-device batch size | 1 |
| Gradient accumulation | 4 |
| Effective batch size | 4 |
| Epochs | 2 |
| Max sequence length | 8192 |
| Optimizer | OptimizerNames.ADAMW_TORCH_FUSED |
| Weight decay | 0.01 |
| Warmup ratio | 0.03 |
| Max gradient norm | 1.0 |
| Precision | bf16 |
| Gradient checkpointing | yes |
| Loss type | nll |
| Chunked cross-entropy | yes |


### LoRA configuration

| Parameter | Value |
|-----------|-------|
| Rank (r) | 32 |
| Alpha | 16 |
| Target modules | kv_a_proj_with_mqa, kv_b_proj, mlp.down_proj, mlp.gate_proj, mlp.up_proj, o_proj, q_a_proj, q_b_proj, shared_expert.down_proj, shared_expert.gate_proj, shared_expert.up_proj |
| rsLoRA | yes |


### Dataset statistics

| Dataset | Samples | Total tokens | Trainable tokens |
|---------|--------:|-------------:|-----------------:|
| rpDungeon/some-revised-datasets/springdragon_processed.jsonl | 2,473 | 5,421,492 | 5,421,492 |


<details>
<summary>Training config</summary>

```yaml
model_name_or_path: zai-org/GLM-4.7-Flash
data_config: data.yaml
prepared_dataset: prepared
output_dir: output-2
attn_implementation: flash_attention_2
bf16: true
gradient_checkpointing: true
gradient_checkpointing_kwargs:
  use_reentrant: false
use_cce: true
padding_free: false
dataloader_num_workers: 4
dataloader_pin_memory: true
aux_loss_top_prob_weight: 0.05
neftune_noise_alpha: 5
max_length: 8192
per_device_train_batch_size: 1
gradient_accumulation_steps: 4
truncation_strategy: split
use_peft: true
lora_r: 32
lora_alpha: 16
lora_dropout: 0.0
use_rslora: true
lora_target_modules:
- q_a_proj
- q_b_proj
- kv_a_proj_with_mqa
- kv_b_proj
- o_proj
- shared_expert.gate_proj
- shared_expert.up_proj
- shared_expert.down_proj
- mlp.gate_proj
- mlp.up_proj
- mlp.down_proj
model_init_kwargs:
  trust_remote_code: true
  torch_dtype: bfloat16
trust_remote_code: true
optim: adamw_torch_fused
learning_rate: 2.0e-05
lr_scheduler_type: cosine
warmup_ratio: 0.03
weight_decay: 0.01
max_grad_norm: 1.0
num_train_epochs: 2
logging_steps: 1
disable_tqdm: false
saves_per_epoch: 4
eval_strategy: 'no'
save_total_limit: 3
report_to: wandb
run_name: glm47-sonic-springdragon
```

</details>

<details>
<summary>Data config</summary>

```yaml
datasets:
- path: rpDungeon/some-revised-datasets
  data_files: springdragon_processed.jsonl
  type: text
  columns:
  - text
  truncation_strategy: split
shuffle_datasets: true
shuffle_combined: true
shuffle_seed: 42
eval_split: 0
split_seed: 42
assistant_only_loss: false
```

</details>

### Framework versions

- PEFT 0.18.1
- Loft: 0.1.0
- Transformers: 5.3.0
- Pytorch: 2.9.1
- Datasets: 4.6.1
- Tokenizers: 0.22.2