End of training

README.md

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+---
+library_name: peft
+license: mit
+base_model: fxmarty/tiny-dummy-qwen2
+tags:
+- axolotl
+- generated_from_trainer
+model-index:
+- name: 06162734-d351-41bb-82e7-47e4efe3d9c9
+  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:
+  - 7b7d4c2e25bfcfaa_train_data.json
+  ds_type: json
+  format: custom
+  path: /workspace/input_data/7b7d4c2e25bfcfaa_train_data.json
+  type:
+    field_input: span_labels
+    field_instruction: source_text
+    field_output: target_text
+    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: 400
+eval_table_size: null
+flash_attention: true
+gradient_accumulation_steps: 4
+gradient_checkpointing: true
+group_by_length: false
+hub_model_id: Alphatao/06162734-d351-41bb-82e7-47e4efe3d9c9
+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: 142749
+micro_batch_size: 2
+mlflow_experiment_name: /tmp/7b7d4c2e25bfcfaa_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: 400
+sequence_len: 1024
+strict: false
+tf32: true
+tokenizer_type: AutoTokenizer
+train_on_inputs: false
+trust_remote_code: true
+val_set_size: 0.022261303176687963
+wandb_entity: null
+wandb_mode: online
+wandb_name: b4837e4a-e96f-46cd-948c-e22b70f0c278
+wandb_project: Gradients-On-Demand
+wandb_run: your_name
+wandb_runid: b4837e4a-e96f-46cd-948c-e22b70f0c278
+warmup_steps: 10
+weight_decay: 0.0
+xformers_attention: null
+
+```
+
+</details><br>
+
+# 06162734-d351-41bb-82e7-47e4efe3d9c9
+
+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: 11.8945
+
+## 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: 4
+- total_train_batch_size: 8
+- 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: 54902
+
+### Training results
+
+| Training Loss | Epoch  | Step  | Validation Loss |
+|:-------------:|:------:|:-----:|:---------------:|
+| 11.931        | 0.0000 | 1     | 11.9320         |
+| 11.908        | 0.0146 | 400   | 11.9114         |
+| 11.914        | 0.0291 | 800   | 11.9078         |
+| 11.9067       | 0.0437 | 1200  | 11.9058         |
+| 11.9008       | 0.0583 | 1600  | 11.9040         |
+| 11.911        | 0.0729 | 2000  | 11.9033         |
+| 11.9088       | 0.0874 | 2400  | 11.9021         |
+| 11.9003       | 0.1020 | 2800  | 11.9015         |
+| 11.9191       | 0.1166 | 3200  | 11.9009         |
+| 11.8979       | 0.1311 | 3600  | 11.9004         |
+| 11.8947       | 0.1457 | 4000  | 11.8999         |
+| 11.9035       | 0.1603 | 4400  | 11.8998         |
+| 11.9037       | 0.1749 | 4800  | 11.8993         |
+| 11.8862       | 0.1894 | 5200  | 11.8990         |
+| 11.8968       | 0.2040 | 5600  | 11.8987         |
+| 11.8981       | 0.2186 | 6000  | 11.8983         |
+| 11.9071       | 0.2331 | 6400  | 11.8981         |
+| 11.8955       | 0.2477 | 6800  | 11.8977         |
+| 11.9008       | 0.2623 | 7200  | 11.8975         |
+| 11.8946       | 0.2769 | 7600  | 11.8974         |
+| 11.8937       | 0.2914 | 8000  | 11.8972         |
+| 11.8924       | 0.3060 | 8400  | 11.8969         |
+| 11.8988       | 0.3206 | 8800  | 11.8968         |
+| 11.9037       | 0.3351 | 9200  | 11.8968         |
+| 11.8975       | 0.3497 | 9600  | 11.8966         |
+| 11.906        | 0.3643 | 10000 | 11.8966         |
+| 11.9076       | 0.3789 | 10400 | 11.8963         |
+| 11.9063       | 0.3934 | 10800 | 11.8961         |
+| 11.8964       | 0.4080 | 11200 | 11.8961         |
+| 11.9075       | 0.4226 | 11600 | 11.8959         |
+| 11.9032       | 0.4371 | 12000 | 11.8958         |
+| 11.9125       | 0.4517 | 12400 | 11.8955         |
+| 11.8889       | 0.4663 | 12800 | 11.8955         |
+| 11.9002       | 0.4809 | 13200 | 11.8954         |
+| 11.897        | 0.4954 | 13600 | 11.8953         |
+| 11.9072       | 0.5100 | 14000 | 11.8952         |
+| 11.9026       | 0.5246 | 14400 | 11.8951         |
+| 11.899        | 0.5391 | 14800 | 11.8951         |
+| 11.9073       | 0.5537 | 15200 | 11.8949         |
+| 11.9005       | 0.5683 | 15600 | 11.8948         |
+| 11.8986       | 0.5829 | 16000 | 11.8950         |
+| 11.8816       | 0.5974 | 16400 | 11.8948         |
+| 11.8973       | 0.6120 | 16800 | 11.8948         |
+| 11.8944       | 0.6266 | 17200 | 11.8947         |
+| 11.8867       | 0.6411 | 17600 | 11.8947         |
+| 11.884        | 0.6557 | 18000 | 11.8945         |
+| 11.8971       | 0.6703 | 18400 | 11.8945         |
+| 11.9007       | 0.6849 | 18800 | 11.8945         |
+| 11.8896       | 0.6994 | 19200 | 11.8945         |
+
+
+### 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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