README.md

---
library_name: peft
base_model: KaraKaraWitch/CavesOfQwen3-8b
tags:
- axolotl
- base_model:adapter:KaraKaraWitch/CavesOfQwen3-8b
- lora
- transformers
datasets:
- train.jsonl
pipeline_tag: text-generation
model-index:
- name: lossing-it-potpourri-5
  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. -->

[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
<details><summary>See axolotl config</summary>

axolotl version: `0.13.0.dev0`
```yaml
base_model: KaraKaraWitch/CavesOfQwen3-8b
hub_model_id: KaraKaraWitch/lossing-it-potpourri-5

load_in_8bit: true
load_in_4bit: false


chat_template: qwen3
datasets:
  - path: train.jsonl
    type: chat_template

    field_messages: conversation
    train_on_eos: all
    message_property_mappings:
      role: from
      content: content


    roles:
      assistant:
        - gpt
        - model
        - assistant
      user:
        - human
        - user
dataset_prepared_path: last_run_prepared
val_set_size: 0.05
output_dir: lora-out

adapter: lora
lora_model_dir:

sequence_len: 8192
sample_packing: true
eval_sample_packing: false
pad_to_sequence_len: true


plugins:
  - axolotl.integrations.liger.LigerPlugin
  - axolotl.integrations.cut_cross_entropy.CutCrossEntropyPlugin
liger_rope: true
liger_rms_norm: true
liger_layer_norm: true
liger_glu_activation: true
liger_fused_linear_cross_entropy: false
cut_cross_entropy: true

lora_r: 64
lora_alpha: 32
lora_dropout: 0.05
lora_target_linear: true
lora_target_modules:
  - gate_proj
  - down_proj
  - up_proj
  - q_proj
  - v_proj
  - k_proj
  - o_proj

wandb_project: azure-edge
wandb_entity:
wandb_watch:
wandb_name: lossing-it-potpourri-5
wandb_log_model:

gradient_accumulation_steps: 4
micro_batch_size: 2
num_epochs: 8
optimizer: adamw_bnb_8bit
lr_scheduler: cosine
learning_rate: 0.002

bf16: auto
tf32: false

gradient_checkpointing: true
resume_from_checkpoint:
logging_steps: 1
flash_attention: true

loss_watchdog_threshold: 5.0
loss_watchdog_patience: 3

warmup_steps: 100
evals_per_epoch: 1
saves_per_epoch: 4
weight_decay: 0.0
special_tokens:
  eos_token: <|im_end|>

# save_first_step: true  # uncomment this to validate checkpoint saving works with your config

```

</details><br>

# lossing-it-potpourri-5

This model is a fine-tuned version of [KaraKaraWitch/CavesOfQwen3-8b](https://huggingface.co/KaraKaraWitch/CavesOfQwen3-8b) on the train.jsonl dataset.

## 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: 0.002
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- total_eval_batch_size: 4
- optimizer: Use OptimizerNames.ADAMW_BNB 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: 100
- training_steps: 5616

### Training results

| Training Loss | Epoch | Step | Validation Loss | Mem Active(gib) | Mem Allocated(gib) | Mem Reserved(gib) |
|:-------------:|:-----:|:----:|:---------------:|:---------------:|:------------------:|:-----------------:|
| No log        | 0     | 0    | 1.7247          | 18.3            | 12.95              | 18.5              |


### Framework versions

- PEFT 0.17.0
- Transformers 4.55.2
- Pytorch 2.7.1+cu126
- Datasets 4.0.0
- Tokenizers 0.21.4