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: 2ce0ecfa-37d0-42e8-af3b-db72dfa8bfe8
+  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: true
+chat_template: llama3
+dataloader_num_workers: 24
+dataset_prepared_path: null
+datasets:
+- data_files:
+  - a5ffd4a12886ce24_train_data.json
+  ds_type: json
+  format: custom
+  path: /workspace/input_data/a5ffd4a12886ce24_train_data.json
+  type:
+    field_input: thinking
+    field_instruction: prompt
+    field_output: answer
+    format: '{instruction} {input}'
+    no_input_format: '{instruction}'
+    system_format: '{system}'
+    system_prompt: ''
+debug: null
+deepspeed: null
+device_map: auto
+do_eval: true
+early_stopping_patience: 3
+eval_batch_size: 2
+eval_max_new_tokens: 128
+eval_steps: 150
+eval_table_size: null
+evals_per_epoch: null
+flash_attention: true
+fp16: false
+fsdp: null
+fsdp_config: null
+gradient_accumulation_steps: 8
+gradient_checkpointing: false
+group_by_length: true
+hub_model_id: abaddon182/2ce0ecfa-37d0-42e8-af3b-db72dfa8bfe8
+hub_repo: null
+hub_strategy: checkpoint
+hub_token: null
+learning_rate: 0.0002
+load_in_4bit: false
+load_in_8bit: false
+local_rank: null
+logging_steps: 50
+lora_alpha: 64
+lora_dropout: 0.05
+lora_fan_in_fan_out: null
+lora_model_dir: null
+lora_r: 32
+lora_target_linear: true
+lr_scheduler: cosine
+max_grad_norm: 1.0
+max_steps: 3000
+micro_batch_size: 2
+mlflow_experiment_name: /tmp/a5ffd4a12886ce24_train_data.json
+model_type: AutoModelForCausalLM
+num_epochs: 10
+optim_args:
+  adam_beta1: 0.9
+  adam_beta2: 0.999
+  adam_epsilon: 1e-8
+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: 150
+saves_per_epoch: null
+sequence_len: 512
+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: f66709ae-7dde-4697-98bf-305cdca7fc8a
+wandb_project: Gradients-On-Demand
+wandb_run: your_name
+wandb_runid: f66709ae-7dde-4697-98bf-305cdca7fc8a
+warmup_steps: 50
+weight_decay: 0.0
+xformers_attention: null
+
+```
+
+</details><br>
+
+# 2ce0ecfa-37d0-42e8-af3b-db72dfa8bfe8
+
+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: 11.7931
+
+## 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
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 16
+- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=adam_beta1=0.9,adam_beta2=0.999,adam_epsilon=1e-8
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 50
+- training_steps: 3000
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| No log        | 0.0011 | 1    | 11.9408         |
+| 11.8524       | 0.1613 | 150  | 11.8495         |
+| 11.8421       | 0.3227 | 300  | 11.8400         |
+| 11.8306       | 0.4840 | 450  | 11.8285         |
+| 11.8243       | 0.6453 | 600  | 11.8227         |
+| 11.8179       | 0.8067 | 750  | 11.8170         |
+| 11.8154       | 0.9680 | 900  | 11.8122         |
+| 11.7959       | 1.1296 | 1050 | 11.8081         |
+| 11.8065       | 1.2909 | 1200 | 11.8047         |
+| 11.7935       | 1.4523 | 1350 | 11.8017         |
+| 11.8127       | 1.6136 | 1500 | 11.7996         |
+| 11.7972       | 1.7749 | 1650 | 11.7975         |
+| 11.7957       | 1.9363 | 1800 | 11.7967         |
+| 11.7989       | 2.0979 | 1950 | 11.7957         |
+| 11.7967       | 2.2592 | 2100 | 11.7954         |
+| 11.7953       | 2.4205 | 2250 | 11.7942         |
+| 11.7964       | 2.5819 | 2400 | 11.7939         |
+| 11.7939       | 2.7432 | 2550 | 11.7934         |
+| 11.7942       | 2.9045 | 2700 | 11.7935         |
+| 11.7973       | 3.0661 | 2850 | 11.7933         |
+| 11.8017       | 3.2275 | 3000 | 11.7931         |
+
+
+### Framework versions
+
+- PEFT 0.13.2
+- Transformers 4.46.0
+- Pytorch 2.5.0+cu124
+- Datasets 3.0.1
+- Tokenizers 0.20.1

adapter_model.bin

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