End of training

README.md

@@ -0,0 +1,193 @@
+---
+library_name: peft
+license: llama3.2
+base_model: unsloth/Llama-3.2-3B-Instruct
+tags:
+- axolotl
+- generated_from_trainer
+model-index:
+- name: ea258833f53-4c8a-4b1a-9abf-59da4fa11e18
+  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: unsloth/Llama-3.2-3B-Instruct
+bf16: auto
+chat_template: llama3
+cosine_min_lr_ratio: 0.1
+data_processes: 16
+dataset_prepared_path: null
+datasets:
+- format: custom
+  path: lavita/ChatDoctor-HealthCareMagic-100k
+  type:
+    field_input: input
+    field_instruction: instruction
+    field_output: output
+    format: '{instruction} {input}'
+    no_input_format: '{instruction}'
+    system_format: '{system}'
+    system_prompt: ''
+debug: null
+deepspeed: null
+device_map: '{'''':torch.cuda.current_device()}'
+do_eval: true
+early_stopping_patience: 1
+eval_batch_size: 1
+eval_sample_packing: false
+eval_steps: 25
+evaluation_strategy: steps
+flash_attention: true
+fp16: null
+fsdp: null
+fsdp_config: null
+gradient_accumulation_steps: 32
+gradient_checkpointing: true
+group_by_length: true
+hub_model_id: cwaud/ea258833f53-4c8a-4b1a-9abf-59da4fa11e18
+hub_repo: stevemonite
+hub_strategy: checkpoint
+hub_token: null
+learning_rate: 0.0002
+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
+- v_proj
+lr_scheduler: cosine
+max_grad_norm: 1.0
+max_memory:
+  0: 70GiB
+  1: 70GiB
+  2: 70GiB
+  3: 70GiB
+max_steps: 888
+micro_batch_size: 1
+mlflow_experiment_name: lavita/ChatDoctor-HealthCareMagic-100k
+model_type: AutoModelForCausalLM
+num_epochs: 3
+optim_args:
+  adam_beta1: 0.9
+  adam_beta2: 0.95
+  adam_epsilon: 1e-5
+optimizer: adamw_torch
+output_dir: miner_id_24
+pad_to_sequence_len: true
+resume_from_checkpoint: null
+s2_attention: null
+sample_packing: false
+save_steps: 50
+save_strategy: steps
+sequence_len: 2048
+strict: false
+tf32: false
+tokenizer_type: AutoTokenizer
+torch_compile: false
+train_on_inputs: false
+trust_remote_code: true
+val_set_size: 50
+wandb_entity: null
+wandb_mode: online
+wandb_project: Public_TuningSN
+wandb_run: miner_id_24
+wandb_runid: 153c7d6f
+warmup_raio: 0.03
+warmup_ratio: 0.04
+weight_decay: 0.01
+xformers_attention: null
+
+```
+
+</details><br>
+
+# ea258833f53-4c8a-4b1a-9abf-59da4fa11e18
+
+This model is a fine-tuned version of [unsloth/Llama-3.2-3B-Instruct](https://huggingface.co/unsloth/Llama-3.2-3B-Instruct) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.1079
+
+## 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: 1
+- eval_batch_size: 1
+- seed: 42
+- gradient_accumulation_steps: 32
+- total_train_batch_size: 32
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=adam_beta1=0.9,adam_beta2=0.95,adam_epsilon=1e-5
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 35
+- training_steps: 888
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 3.0904        | 0.0003 | 1    | 3.2887          |
+| 2.6898        | 0.0071 | 25   | 2.7006          |
+| 2.5132        | 0.0143 | 50   | 2.5567          |
+| 2.4234        | 0.0214 | 75   | 2.4513          |
+| 2.5322        | 0.0285 | 100  | 2.4194          |
+| 2.2951        | 0.0357 | 125  | 2.3581          |
+| 2.331         | 0.0428 | 150  | 2.3471          |
+| 2.2978        | 0.0499 | 175  | 2.3032          |
+| 2.1733        | 0.0571 | 200  | 2.2889          |
+| 2.194         | 0.0642 | 225  | 2.2525          |
+| 2.3849        | 0.0714 | 250  | 2.2398          |
+| 2.0697        | 0.0785 | 275  | 2.2127          |
+| 2.5496        | 0.0856 | 300  | 2.2259          |
+| 2.0852        | 0.0928 | 325  | 2.1999          |
+| 2.2164        | 0.0999 | 350  | 2.2020          |
+| 2.2373        | 0.1070 | 375  | 2.1708          |
+| 2.2789        | 0.1142 | 400  | 2.1725          |
+| 2.1254        | 0.1213 | 425  | 2.1471          |
+| 2.11          | 0.1284 | 450  | 2.1469          |
+| 2.0535        | 0.1356 | 475  | 2.1419          |
+| 2.1039        | 0.1427 | 500  | 2.1362          |
+| 1.9734        | 0.1498 | 525  | 2.1290          |
+| 2.0061        | 0.1570 | 550  | 2.1158          |
+| 2.1663        | 0.1641 | 575  | 2.1151          |
+| 2.1725        | 0.1713 | 600  | 2.1112          |
+| 2.2051        | 0.1784 | 625  | 2.1108          |
+| 2.0556        | 0.1855 | 650  | 2.1073          |
+| 1.9651        | 0.1927 | 675  | 2.1079          |
+
+
+### 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

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:fa1dcaa955e2807f1d1457ee3393d217c3b8e37af0982b0f4015310ba02a3805
-size 335706186
+oid sha256:7d811858ce3e4dfd8499b37e566f0cd3ad059c41ff3aaf484ddb68866e52d17b
+size 97396522