End of training

README.md

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+---
+library_name: peft
+license: apache-2.0
+base_model: Qwen/Qwen3-8B-Base
+tags:
+- axolotl
+- generated_from_trainer
+model-index:
+- name: 9e863409-5502-4d0b-9027-9eff9972345a
+  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: `0.10.0.dev0`
+```yaml
+adapter: lora
+base_model: Qwen/Qwen3-8B-Base
+bf16: true
+chat_template: llama3
+datasets:
+- data_files:
+  - a4d38a814b208fbf_train_data.json
+  ds_type: json
+  format: custom
+  path: /workspace/input_data/
+  type:
+    field_input: input
+    field_instruction: instruct
+    field_output: output
+    format: '{instruction} {input}'
+    no_input_format: '{instruction}'
+    system_format: '{system}'
+    system_prompt: ''
+eval_max_new_tokens: 256
+evals_per_epoch: 2
+flash_attention: false
+fp16: false
+gradient_accumulation_steps: 1
+gradient_checkpointing: true
+group_by_length: true
+hub_model_id: apriasmoro/9e863409-5502-4d0b-9027-9eff9972345a
+learning_rate: 0.0002
+logging_steps: 10
+lora_alpha: 16
+lora_dropout: 0.05
+lora_fan_in_fan_out: false
+lora_r: 8
+lora_target_linear: true
+lr_scheduler: cosine
+max_steps: 3483
+micro_batch_size: 4
+mlflow_experiment_name: /tmp/a4d38a814b208fbf_train_data.json
+model_type: AutoModelForCausalLM
+num_epochs: 3
+optimizer: adamw_bnb_8bit
+output_dir: miner_id_24
+pad_to_sequence_len: true
+sample_packing: false
+save_steps: 348
+sequence_len: 2048
+tf32: true
+tokenizer_type: AutoTokenizer
+train_on_inputs: false
+trust_remote_code: true
+val_set_size: 0.05
+wandb_entity: null
+wandb_mode: online
+wandb_name: 32391185-cb4f-4ffe-b8f6-62504519c53c
+wandb_project: Gradients-On-Demand
+wandb_run: apriasmoro
+wandb_runid: 32391185-cb4f-4ffe-b8f6-62504519c53c
+warmup_steps: 100
+weight_decay: 0.01
+
+```
+
+</details><br>
+
+# 9e863409-5502-4d0b-9027-9eff9972345a
+
+This model is a fine-tuned version of [Qwen/Qwen3-8B-Base](https://huggingface.co/Qwen/Qwen3-8B-Base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4513
+
+## 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: 4
+- eval_batch_size: 4
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- total_train_batch_size: 32
+- total_eval_batch_size: 32
+- 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: 3483
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss |
+|:-------------:|:-------:|:----:|:---------------:|
+| No log        | 0.0096  | 1    | 1.0573          |
+| 0.0774        | 5.5865  | 581  | 0.2366          |
+| 0.0054        | 11.1731 | 1162 | 0.3158          |
+| 0.0016        | 16.7596 | 1743 | 0.3904          |
+| 0.0002        | 22.3462 | 2324 | 0.4352          |
+| 0.0001        | 27.9327 | 2905 | 0.4513          |
+
+
+### Framework versions
+
+- PEFT 0.15.2
+- Transformers 4.51.3
+- Pytorch 2.5.1+cu124
+- Datasets 3.5.1
+- Tokenizers 0.21.1