End of training

README.md

@@ -0,0 +1,179 @@
+---
+library_name: peft
+license: llama3.2
+base_model: unsloth/Llama-3.2-3B
+tags:
+- axolotl
+- generated_from_trainer
+model-index:
+- name: e7a8531a-f667-43d7-96f2-07ed1b116e7e
+  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
+bf16: true
+chat_template: llama3
+dataset_prepared_path: null
+datasets:
+- data_files:
+  - b10b004d99069455_train_data.json
+  ds_type: json
+  format: custom
+  path: /workspace/input_data/b10b004d99069455_train_data.json
+  type:
+    field_instruction: startphrase
+    field_output: gold-ending
+    format: '{instruction}'
+    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: 100
+eval_table_size: null
+flash_attention: true
+gradient_accumulation_steps: 8
+gradient_checkpointing: true
+group_by_length: false
+hub_model_id: Alphatao/e7a8531a-f667-43d7-96f2-07ed1b116e7e
+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
+- down_proj
+- up_proj
+lr_scheduler: cosine
+max_grad_norm: 1.0
+max_steps: 2346
+micro_batch_size: 4
+mlflow_experiment_name: /tmp/b10b004d99069455_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: 100
+sequence_len: 2048
+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: 2d26c05a-cd41-4443-90b8-af6e34d0351b
+wandb_project: Gradients-On-Demand
+wandb_run: your_name
+wandb_runid: 2d26c05a-cd41-4443-90b8-af6e34d0351b
+warmup_steps: 10
+weight_decay: 0.0
+xformers_attention: null
+
+```
+
+</details><br>
+
+# e7a8531a-f667-43d7-96f2-07ed1b116e7e
+
+This model is a fine-tuned version of [unsloth/Llama-3.2-3B](https://huggingface.co/unsloth/Llama-3.2-3B) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.2395
+
+## 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: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 8
+- 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: 2346
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 4.4298        | 0.0004 | 1    | 4.2132          |
+| 2.6515        | 0.0364 | 100  | 2.4191          |
+| 2.224         | 0.0729 | 200  | 2.3802          |
+| 2.7286        | 0.1093 | 300  | 2.3568          |
+| 2.4288        | 0.1457 | 400  | 2.3433          |
+| 2.2517        | 0.1822 | 500  | 2.3338          |
+| 2.3638        | 0.2186 | 600  | 2.3226          |
+| 2.4078        | 0.2550 | 700  | 2.3116          |
+| 2.4365        | 0.2915 | 800  | 2.3066          |
+| 2.3669        | 0.3279 | 900  | 2.3001          |
+| 2.363         | 0.3643 | 1000 | 2.2917          |
+| 2.2615        | 0.4008 | 1100 | 2.2847          |
+| 2.3083        | 0.4372 | 1200 | 2.2774          |
+| 2.1599        | 0.4736 | 1300 | 2.2743          |
+| 2.1445        | 0.5101 | 1400 | 2.2687          |
+| 2.3314        | 0.5465 | 1500 | 2.2618          |
+| 2.2573        | 0.5829 | 1600 | 2.2566          |
+| 2.4727        | 0.6194 | 1700 | 2.2512          |
+| 2.1696        | 0.6558 | 1800 | 2.2482          |
+| 2.3054        | 0.6922 | 1900 | 2.2447          |
+| 2.312         | 0.7287 | 2000 | 2.2424          |
+| 2.2064        | 0.7651 | 2100 | 2.2407          |
+| 2.4036        | 0.8015 | 2200 | 2.2398          |
+| 2.2385        | 0.8380 | 2300 | 2.2395          |
+
+
+### 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:c2e4a82800e54e564106dd89a89321bb17958dd70fe81aac8243c8bc36e096be
+size 97396522

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b6c75a82e1a25ac106ce7c1977bc95ea9aea922e65690854663a431191429a3c
+oid sha256:4609ae6f93011509fbe9899644478a1f341b0886772c66a6c385a4df34842227
 size 97307544