End of training

README.md

@@ -0,0 +1,159 @@
+---
+library_name: peft
+license: apache-2.0
+base_model: unsloth/zephyr-sft
+tags:
+- axolotl
+- generated_from_trainer
+model-index:
+- name: 5023ab17-5b5f-40d7-b6af-7f79d33a8b85
+  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/zephyr-sft
+bf16: auto
+chat_template: llama3
+dataset_prepared_path: null
+datasets:
+- data_files:
+  - 8d5ddce9fc74e74e_train_data.json
+  ds_type: json
+  format: custom
+  path: /workspace/input_data/8d5ddce9fc74e74e_train_data.json
+  type:
+    field_instruction: difficulty
+    field_output: question
+    format: '{instruction}'
+    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: true
+fp16: null
+fsdp: null
+fsdp_config: null
+gradient_accumulation_steps: 4
+gradient_checkpointing: true
+group_by_length: false
+hub_model_id: dixedus/5023ab17-5b5f-40d7-b6af-7f79d33a8b85
+hub_repo: null
+hub_strategy: checkpoint
+hub_token: null
+learning_rate: 5.0e-05
+load_in_4bit: false
+load_in_8bit: false
+local_rank: 0
+logging_steps: 3
+lora_alpha: 32
+lora_dropout: 0.05
+lora_fan_in_fan_out: null
+lora_model_dir: null
+lora_r: 16
+lora_target_linear: true
+lr_scheduler: cosine
+max_steps: 100
+micro_batch_size: 8
+mlflow_experiment_name: /tmp/8d5ddce9fc74e74e_train_data.json
+model_type: AutoModelForCausalLM
+num_epochs: 3
+optimizer: adamw_bnb_8bit
+output_dir: miner_id_24
+pad_to_sequence_len: true
+resume_from_checkpoint: null
+s2_attention: null
+sample_packing: false
+saves_per_epoch: 4
+sequence_len: 1024
+strict: false
+tf32: false
+tokenizer_type: AutoTokenizer
+train_on_inputs: false
+trust_remote_code: true
+val_set_size: 0.05
+wandb_entity: techspear-hub
+wandb_mode: online
+wandb_name: 19c524b3-7de4-499c-ab35-471d315a9bb6
+wandb_project: Gradients-On-Eight
+wandb_run: your_name
+wandb_runid: 19c524b3-7de4-499c-ab35-471d315a9bb6
+warmup_steps: 10
+weight_decay: 0.0
+xformers_attention: null
+
+```
+
+</details><br>
+
+# 5023ab17-5b5f-40d7-b6af-7f79d33a8b85
+
+This model is a fine-tuned version of [unsloth/zephyr-sft](https://huggingface.co/unsloth/zephyr-sft) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.0105
+
+## 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: 5e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 4
+- 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: 100
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| No log        | 0.0072 | 1    | 1.3506          |
+| 5.131         | 0.0647 | 9    | 1.1898          |
+| 4.6042        | 0.1295 | 18   | 1.0919          |
+| 4.4557        | 0.1942 | 27   | 1.0574          |
+| 4.3688        | 0.2590 | 36   | 1.0416          |
+| 4.2421        | 0.3237 | 45   | 1.0297          |
+| 4.2638        | 0.3885 | 54   | 1.0223          |
+| 4.1022        | 0.4532 | 63   | 1.0169          |
+| 3.9958        | 0.5180 | 72   | 1.0135          |
+| 4.122         | 0.5827 | 81   | 1.0116          |
+| 4.2366        | 0.6475 | 90   | 1.0107          |
+| 4.1725        | 0.7122 | 99   | 1.0105          |
+
+
+### 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:c267191134d10880726ef6b70bbd293b993037a306612304ab3f55875565fdc7
+size 167934026