End of training

README.md

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+---
+library_name: peft
+license: apache-2.0
+base_model: Intel/neural-chat-7b-v3-3
+tags:
+- axolotl
+- base_model:adapter:Intel/neural-chat-7b-v3-3
+- lora
+- transformers
+pipeline_tag: text-generation
+model-index:
+- name: 5c367ad0-c93e-461e-bede-f7da411e4df6
+  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: `0.13.0.dev0`
+```yaml
+adapter: lora
+base_model: Intel/neural-chat-7b-v3-3
+bf16: true
+chat_template: llama3
+dataset_prepared_path: null
+datasets:
+- data_files:
+  - 55a068229248e10f_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: ''
+debug: null
+deepspeed: null
+early_stopping_patience: null
+eval_max_new_tokens: 128
+eval_table_size: null
+evals_per_epoch: 4
+flash_attention: false
+fp16: null
+fsdp: null
+fsdp_config: null
+gradient_accumulation_steps: 4
+gradient_checkpointing: true
+group_by_length: false
+hub_model_id: eason668/5c367ad0-c93e-461e-bede-f7da411e4df6
+hub_private_repo: false
+learning_rate: 0.0002
+load_in_4bit: false
+load_in_8bit: false
+local_rank: null
+logging_steps: 1
+lora_alpha: 16
+lora_dropout: 0.05
+lora_fan_in_fan_out: null
+lora_model_dir: null
+lora_r: 8
+lora_target_linear: true
+lr_scheduler: cosine
+max_steps: 3000
+micro_batch_size: 2
+mlflow_experiment_name: /tmp/55a068229248e10f_train_data.json
+model_type: AutoModelForCausalLM
+num_epochs: 1
+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_only_model: false
+save_safetensors: true
+save_steps: 300
+save_strategy: steps
+save_total_limit: 4
+sequence_len: 2048
+special_tokens:
+  pad_token: </s>
+strict: false
+tf32: false
+tokenizer_max_length: 2048
+tokenizer_truncation: true
+tokenizer_type: AutoTokenizer
+train_on_inputs: false
+trust_remote_code: true
+val_set_size: 0.1
+wandb_entity: null
+wandb_mode: online
+wandb_project: Gradients-On-Demand
+wandb_run: 5c367ad0-c93e-461e-bede-f7da411e4df6
+wandb_runid: 5c367ad0-c93e-461e-bede-f7da411e4df6
+warmup_steps: 150
+weight_decay: 0.01
+xformers_attention: null
+
+```
+
+</details><br>
+
+# 5c367ad0-c93e-461e-bede-f7da411e4df6
+
+This model is a fine-tuned version of [Intel/neural-chat-7b-v3-3](https://huggingface.co/Intel/neural-chat-7b-v3-3) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3202
+- Memory/max Mem Active(gib): 16.55
+- Memory/max Mem Allocated(gib): 16.55
+- Memory/device Mem Reserved(gib): 17.43
+
+## 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
+- distributed_type: multi-GPU
+- num_devices: 8
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 64
+- total_eval_batch_size: 16
+- 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: 150
+- training_steps: 3000
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Mem Active(gib) | Mem Allocated(gib) | Mem Reserved(gib) |
+|:-------------:|:------:|:----:|:---------------:|:---------------:|:------------------:|:-----------------:|
+| No log        | 0      | 0    | 2.5680          | 14.97           | 14.97              | 16.11             |
+| 1.2107        | 1.6641 | 750  | 1.2411          | 16.55           | 16.55              | 16.75             |
+| 0.6864        | 3.3265 | 1500 | 0.7671          | 16.55           | 16.55              | 17.43             |
+| 0.3838        | 4.9906 | 2250 | 0.4218          | 16.55           | 16.55              | 17.43             |
+| 0.2646        | 6.6530 | 3000 | 0.3202          | 16.55           | 16.55              | 17.43             |
+
+
+### Framework versions
+
+- PEFT 0.17.0
+- Transformers 4.55.2
+- Pytorch 2.7.1+cu126
+- Datasets 4.0.0
+- Tokenizers 0.21.4