End of training

README.md

@@ -0,0 +1,219 @@
+---
+library_name: peft
+license: mit
+base_model: fxmarty/tiny-dummy-qwen2
+tags:
+- axolotl
+- generated_from_trainer
+model-index:
+- name: 0add2cb2-135d-4e19-ba85-f5ce6539c823
+  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: fxmarty/tiny-dummy-qwen2
+bf16: true
+chat_template: llama3
+dataset_prepared_path: null
+datasets:
+- data_files:
+  - bce164773e1650b3_train_data.json
+  ds_type: json
+  format: custom
+  path: /workspace/input_data/bce164773e1650b3_train_data.json
+  type:
+    field_input: input
+    field_instruction: instruction
+    field_output: output
+    format: '{instruction} {input}'
+    no_input_format: '{instruction}'
+    system_format: '{system}'
+    system_prompt: ''
+debug: null
+device_map:
+  ? ''
+  : 0,1,2,3,4,5,6,7
+early_stopping_patience: 2
+eval_max_new_tokens: 128
+eval_steps: 100
+eval_table_size: null
+flash_attention: true
+gradient_accumulation_steps: 8
+gradient_checkpointing: true
+group_by_length: false
+hub_model_id: Alphatao/0add2cb2-135d-4e19-ba85-f5ce6539c823
+hub_repo: null
+hub_strategy: null
+hub_token: null
+learning_rate: 0.0002
+load_best_model_at_end: true
+load_in_4bit: false
+load_in_8bit: false
+local_rank: null
+logging_steps: 1
+lora_alpha: 32
+lora_dropout: 0.05
+lora_fan_in_fan_out: null
+lora_model_dir: null
+lora_r: 16
+lora_target_linear: true
+lora_target_modules:
+- q_proj
+- k_proj
+- v_proj
+- o_proj
+lr_scheduler: cosine
+max_grad_norm: 1.0
+max_steps: 28489
+micro_batch_size: 4
+mlflow_experiment_name: /tmp/bce164773e1650b3_train_data.json
+model_type: AutoModelForCausalLM
+num_epochs: 2
+optimizer: adamw_bnb_8bit
+output_dir: miner_id_24
+pad_to_sequence_len: true
+resume_from_checkpoint: null
+s2_attention: null
+sample_packing: false
+save_steps: 100
+sequence_len: 1024
+strict: false
+tf32: true
+tokenizer_type: AutoTokenizer
+train_on_inputs: false
+trust_remote_code: true
+val_set_size: 0.044897409419476494
+wandb_entity: null
+wandb_mode: online
+wandb_name: 68810631-1dc7-4768-b968-076e11ca27ee
+wandb_project: Gradients-On-Demand
+wandb_run: your_name
+wandb_runid: 68810631-1dc7-4768-b968-076e11ca27ee
+warmup_steps: 10
+weight_decay: 0.0
+xformers_attention: null
+
+```
+
+</details><br>
+
+# 0add2cb2-135d-4e19-ba85-f5ce6539c823
+
+This model is a fine-tuned version of [fxmarty/tiny-dummy-qwen2](https://huggingface.co/fxmarty/tiny-dummy-qwen2) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 11.9089
+
+## 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
+- gradient_accumulation_steps: 8
+- total_train_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: 10
+- training_steps: 6648
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 11.9323       | 0.0003 | 1    | 11.9318         |
+| 11.9217       | 0.0301 | 100  | 11.9227         |
+| 11.9201       | 0.0602 | 200  | 11.9190         |
+| 11.9173       | 0.0903 | 300  | 11.9171         |
+| 11.9154       | 0.1203 | 400  | 11.9161         |
+| 11.9144       | 0.1504 | 500  | 11.9152         |
+| 11.9156       | 0.1805 | 600  | 11.9143         |
+| 11.9138       | 0.2106 | 700  | 11.9136         |
+| 11.9132       | 0.2407 | 800  | 11.9131         |
+| 11.914        | 0.2708 | 900  | 11.9128         |
+| 11.9135       | 0.3008 | 1000 | 11.9124         |
+| 11.9139       | 0.3309 | 1100 | 11.9122         |
+| 11.9146       | 0.3610 | 1200 | 11.9119         |
+| 11.9134       | 0.3911 | 1300 | 11.9118         |
+| 11.9135       | 0.4212 | 1400 | 11.9115         |
+| 11.9127       | 0.4513 | 1500 | 11.9113         |
+| 11.9127       | 0.4813 | 1600 | 11.9111         |
+| 11.9154       | 0.5114 | 1700 | 11.9109         |
+| 11.9113       | 0.5415 | 1800 | 11.9108         |
+| 11.9132       | 0.5716 | 1900 | 11.9106         |
+| 11.9116       | 0.6017 | 2000 | 11.9105         |
+| 11.9108       | 0.6318 | 2100 | 11.9104         |
+| 11.9111       | 0.6619 | 2200 | 11.9102         |
+| 11.912        | 0.6919 | 2300 | 11.9102         |
+| 11.9143       | 0.7220 | 2400 | 11.9100         |
+| 11.9118       | 0.7521 | 2500 | 11.9100         |
+| 11.9144       | 0.7822 | 2600 | 11.9099         |
+| 11.9099       | 0.8123 | 2700 | 11.9098         |
+| 11.9111       | 0.8424 | 2800 | 11.9098         |
+| 11.9103       | 0.8724 | 2900 | 11.9097         |
+| 11.9092       | 0.9025 | 3000 | 11.9096         |
+| 11.9112       | 0.9326 | 3100 | 11.9096         |
+| 11.9109       | 0.9627 | 3200 | 11.9095         |
+| 11.9133       | 0.9928 | 3300 | 11.9094         |
+| 11.9125       | 1.0229 | 3400 | 11.9094         |
+| 11.91         | 1.0529 | 3500 | 11.9094         |
+| 11.91         | 1.0830 | 3600 | 11.9093         |
+| 11.9113       | 1.1131 | 3700 | 11.9093         |
+| 11.9109       | 1.1432 | 3800 | 11.9093         |
+| 11.9136       | 1.1733 | 3900 | 11.9092         |
+| 11.9118       | 1.2034 | 4000 | 11.9092         |
+| 11.9111       | 1.2335 | 4100 | 11.9092         |
+| 11.9102       | 1.2635 | 4200 | 11.9091         |
+| 11.9104       | 1.2936 | 4300 | 11.9091         |
+| 11.91         | 1.3237 | 4400 | 11.9091         |
+| 11.9115       | 1.3538 | 4500 | 11.9091         |
+| 11.9132       | 1.3839 | 4600 | 11.9091         |
+| 11.9106       | 1.4140 | 4700 | 11.9090         |
+| 11.9095       | 1.4440 | 4800 | 11.9090         |
+| 11.9093       | 1.4741 | 4900 | 11.9090         |
+| 11.9126       | 1.5042 | 5000 | 11.9090         |
+| 11.9112       | 1.5343 | 5100 | 11.9090         |
+| 11.9094       | 1.5644 | 5200 | 11.9090         |
+| 11.9103       | 1.5945 | 5300 | 11.9090         |
+| 11.9093       | 1.6245 | 5400 | 11.9089         |
+| 11.9122       | 1.6546 | 5500 | 11.9089         |
+| 11.9111       | 1.6847 | 5600 | 11.9089         |
+| 11.9127       | 1.7148 | 5700 | 11.9089         |
+| 11.9077       | 1.7449 | 5800 | 11.9089         |
+| 11.9102       | 1.7750 | 5900 | 11.9089         |
+| 11.9098       | 1.8051 | 6000 | 11.9089         |
+| 11.912        | 1.8351 | 6100 | 11.9089         |
+| 11.909        | 1.8652 | 6200 | 11.9089         |
+| 11.9106       | 1.8953 | 6300 | 11.9089         |
+| 11.9102       | 1.9254 | 6400 | 11.9089         |
+
+
+### 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

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:25b439d0a4da745d6d57951aaa11feb0f687629b474dafc98efdfd2611547bd3
+size 32642

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d6b5abc75fc6f31142b4d2617b1c5780c5d168ae4ac283c638e584da03428e7d
+oid sha256:b69169044f61417a1b81ca4cd3ddf2d6f29ea34fddc01df574bdc1965a061867
 size 26008