End of training

README.md

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+---
+library_name: peft
+base_model: katuni4ka/tiny-random-qwen1.5-moe
+tags:
+- axolotl
+- generated_from_trainer
+model-index:
+- name: 3838a51b-0133-48f9-9615-bfd2e48c9d48
+  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: `0.4.1`
+```yaml
+adapter: lora
+base_model: katuni4ka/tiny-random-qwen1.5-moe
+bf16: auto
+chat_template: llama3
+dataset_prepared_path: null
+datasets:
+- data_files:
+  - 43f734d01e4861d3_train_data.json
+  ds_type: json
+  format: custom
+  path: /workspace/input_data/43f734d01e4861d3_train_data.json
+  type:
+    field_input: testcase
+    field_instruction: instruction
+    field_output: output
+    format: '{instruction} {input}'
+    no_input_format: '{instruction}'
+    system_format: '{system}'
+    system_prompt: ''
+debug: null
+deepspeed: null
+do_eval: true
+early_stopping_patience: 3
+eval_batch_size: 4
+eval_max_new_tokens: 128
+eval_steps: 500
+evals_per_epoch: null
+flash_attention: true
+fp16: false
+fsdp: null
+fsdp_config: null
+gradient_accumulation_steps: 8
+gradient_checkpointing: true
+group_by_length: true
+hub_model_id: lesso09/3838a51b-0133-48f9-9615-bfd2e48c9d48
+hub_repo: null
+hub_strategy: checkpoint
+hub_token: null
+learning_rate: 0.000209
+load_in_4bit: false
+load_in_8bit: false
+local_rank: null
+logging_steps: 50
+lora_alpha: 128
+lora_dropout: 0.15
+lora_fan_in_fan_out: null
+lora_model_dir: null
+lora_r: 64
+lora_target_linear: true
+lr_scheduler: cosine
+max_grad_norm: 1.0
+max_steps: 9000
+micro_batch_size: 4
+mlflow_experiment_name: /tmp/43f734d01e4861d3_train_data.json
+model_type: AutoModelForCausalLM
+num_epochs: 10
+optimizer: adamw_torch_fused
+output_dir: miner_id_24
+pad_to_sequence_len: true
+resume_from_checkpoint: null
+s2_attention: null
+sample_packing: false
+save_steps: 500
+saves_per_epoch: null
+seed: 90
+sequence_len: 1024
+strict: false
+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: faf9ea99-82da-4871-8caa-b5447c2da5f9
+wandb_project: 09a
+wandb_run: your_name
+wandb_runid: faf9ea99-82da-4871-8caa-b5447c2da5f9
+warmup_steps: 100
+weight_decay: 0.0
+xformers_attention: null
+
+```
+
+</details><br>
+
+# 3838a51b-0133-48f9-9615-bfd2e48c9d48
+
+This model is a fine-tuned version of [katuni4ka/tiny-random-qwen1.5-moe](https://huggingface.co/katuni4ka/tiny-random-qwen1.5-moe) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 11.5435
+
+## 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: 0.000209
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 90
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 32
+- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 9000
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| No log        | 0.0003 | 1    | 11.9301         |
+| 11.6397       | 0.1437 | 500  | 11.6333         |
+| 11.6184       | 0.2875 | 1000 | 11.6053         |
+| 11.5982       | 0.4312 | 1500 | 11.5863         |
+| 11.5901       | 0.5749 | 2000 | 11.5739         |
+| 11.585        | 0.7186 | 2500 | 11.5655         |
+| 11.5789       | 0.8624 | 3000 | 11.5599         |
+| 11.6416       | 1.0061 | 3500 | 11.5548         |
+| 11.5702       | 1.1498 | 4000 | 11.5518         |
+| 11.5693       | 1.2936 | 4500 | 11.5500         |
+| 11.5647       | 1.4373 | 5000 | 11.5480         |
+| 11.5669       | 1.5810 | 5500 | 11.5469         |
+| 11.5674       | 1.7248 | 6000 | 11.5459         |
+| 11.5629       | 1.8685 | 6500 | 11.5448         |
+| 11.6249       | 2.0122 | 7000 | 11.5443         |
+| 11.5669       | 2.1559 | 7500 | 11.5441         |
+| 11.562        | 2.2997 | 8000 | 11.5435         |
+| 11.5595       | 2.4434 | 8500 | 11.5435         |
+| 11.5535       | 2.5871 | 9000 | 11.5435         |
+
+
+### Framework versions
+
+- PEFT 0.13.2
+- Transformers 4.46.0
+- Pytorch 2.5.0+cu124
+- Datasets 3.0.1
+- Tokenizers 0.20.1

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