End of training

README.md

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+---
+library_name: peft
+base_model: NousResearch/Yarn-Llama-2-7b-64k
+tags:
+- axolotl
+- generated_from_trainer
+model-index:
+- name: be22adab-944b-44dd-b2f5-34176f365895
+  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
+auto_find_batch_size: true
+base_model: NousResearch/Yarn-Llama-2-7b-64k
+bf16: auto
+chat_template: llama3
+dataset_prepared_path: null
+datasets:
+- data_files:
+  - 1dc9438022262def_train_data.json
+  ds_type: json
+  format: custom
+  path: /workspace/input_data/1dc9438022262def_train_data.json
+  type:
+    field_input: Source
+    field_instruction: Script
+    field_output: Content
+    format: '{instruction} {input}'
+    no_input_format: '{instruction}'
+    system_format: '{system}'
+    system_prompt: ''
+debug: null
+deepspeed: null
+do_eval: true
+early_stopping_patience: 3
+eval_max_new_tokens: 128
+eval_steps: 50
+evals_per_epoch: null
+flash_attention: false
+fp16: false
+fsdp: null
+fsdp_config: null
+gradient_accumulation_steps: 2
+gradient_checkpointing: false
+group_by_length: true
+hub_model_id: lesso03/be22adab-944b-44dd-b2f5-34176f365895
+hub_repo: null
+hub_strategy: checkpoint
+hub_token: null
+learning_rate: 0.000203
+load_in_4bit: false
+load_in_8bit: false
+local_rank: null
+logging_steps: 10
+lora_alpha: 128
+lora_dropout: 0.05
+lora_fan_in_fan_out: null
+lora_model_dir: null
+lora_r: 64
+lora_target_linear: true
+lr_scheduler: cosine
+max_grad_norm: 1.0
+max_steps: 500
+micro_batch_size: 4
+mlflow_experiment_name: /tmp/G.O.D/1dc9438022262def_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_steps: 50
+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: 4a4ff803-1f36-452e-a6bd-d415e53ba94f
+wandb_project: 03a
+wandb_run: your_name
+wandb_runid: 4a4ff803-1f36-452e-a6bd-d415e53ba94f
+warmup_steps: 50
+weight_decay: 0.0
+xformers_attention: null
+
+```
+
+</details><br>
+
+# be22adab-944b-44dd-b2f5-34176f365895
+
+This model is a fine-tuned version of [NousResearch/Yarn-Llama-2-7b-64k](https://huggingface.co/NousResearch/Yarn-Llama-2-7b-64k) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8033
+
+## 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: 0.000203
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 2
+- 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: 50
+- training_steps: 500
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| No log        | 0.0004 | 1    | 2.2280          |
+| 2.597         | 0.0184 | 50   | 1.3078          |
+| 2.0506        | 0.0368 | 100  | 1.1180          |
+| 1.9292        | 0.0552 | 150  | 1.0144          |
+| 1.8005        | 0.0737 | 200  | 0.9691          |
+| 1.5755        | 0.0921 | 250  | 0.9145          |
+| 1.6099        | 0.1105 | 300  | 0.8698          |
+| 1.4342        | 0.1289 | 350  | 0.8378          |
+| 1.5467        | 0.1473 | 400  | 0.8157          |
+| 1.4868        | 0.1657 | 450  | 0.8051          |
+| 1.5057        | 0.1841 | 500  | 0.8033          |
+
+
+### 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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