End of training

README.md

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+---
+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: crossing-field-4
+  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/crossing-field-4
+
+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: crossing-field-4
+wandb_log_model:
+
+gradient_accumulation_steps: 4
+micro_batch_size: 2
+num_epochs: 6
+optimizer: adamw_bnb_8bit
+lr_scheduler: cosine
+learning_rate: 0.0002
+
+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: 50
+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>
+
+# crossing-field-4
+
+This model is a fine-tuned version of [KaraKaraWitch/CavesOfQwen3-8b](https://huggingface.co/KaraKaraWitch/CavesOfQwen3-8b) on the train.jsonl dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.3543
+- Memory/max Mem Active(gib): 20.87
+- Memory/max Mem Allocated(gib): 20.87
+- Memory/device Mem Reserved(gib): 21.53
+
+## 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: 0.0002
+- 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: 50
+- training_steps: 4212
+
+### 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              |
+| 1.5809        | 1.0   | 702  | 1.4699          | 20.87           | 20.87              | 21.43             |
+| 1.4682        | 2.0   | 1404 | 1.4264          | 20.87           | 20.87              | 21.53             |
+| 1.3153        | 3.0   | 2106 | 1.3886          | 20.87           | 20.87              | 21.53             |
+| 1.2031        | 4.0   | 2808 | 1.3615          | 20.87           | 20.87              | 21.53             |
+| 1.1377        | 5.0   | 3510 | 1.3515          | 20.87           | 20.87              | 21.53             |
+| 1.1198        | 6.0   | 4212 | 1.3543          | 20.87           | 20.87              | 21.53             |
+
+
+### Framework versions
+
+- PEFT 0.17.0
+- Transformers 4.55.2
+- Pytorch 2.7.1+cu126
+- Datasets 4.0.0
+- Tokenizers 0.21.4