End of training

README.md

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+---
+library_name: peft
+license: apache-2.0
+base_model: unsloth/tinyllama
+tags:
+- axolotl
+- generated_from_trainer
+model-index:
+- name: dc78143d-f969-489f-b5a3-33391bf2b1e6
+  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/tinyllama
+batch_size: 8
+bf16: true
+chat_template: tokenizer_default_fallback_alpaca
+datasets:
+- data_files:
+  - fced0da711a452c4_train_data.json
+  ds_type: json
+  format: custom
+  path: /workspace/input_data/fced0da711a452c4_train_data.json
+  type:
+    field_instruction: question_body
+    field_output: question_title
+    format: '{instruction}'
+    no_input_format: '{instruction}'
+    system_format: '{system}'
+    system_prompt: ''
+early_stopping_patience: 3
+eval_steps: 50
+flash_attention: true
+gpu_memory_limit: 80GiB
+gradient_checkpointing: true
+group_by_length: true
+hub_model_id: willtensora/dc78143d-f969-489f-b5a3-33391bf2b1e6
+hub_strategy: checkpoint
+learning_rate: 0.0002
+logging_steps: 10
+lora_alpha: 256
+lora_dropout: 0.1
+lora_r: 128
+lora_target_linear: true
+lr_scheduler: cosine
+micro_batch_size: 1
+model_type: AutoModelForCausalLM
+num_epochs: 100
+optimizer: adamw_bnb_8bit
+output_dir: miner_id_24
+pad_to_sequence_len: true
+resize_token_embeddings_to_32x: false
+sample_packing: false
+save_steps: 50
+sequence_len: 2048
+tokenizer_type: LlamaTokenizerFast
+train_on_inputs: false
+trust_remote_code: true
+val_set_size: 0.1
+wandb_entity: ''
+wandb_mode: online
+wandb_project: Gradients-On-Demand
+wandb_run: your_name
+wandb_runid: default
+warmup_ratio: 0.05
+xformers_attention: true
+
+```
+
+</details><br>
+
+# dc78143d-f969-489f-b5a3-33391bf2b1e6
+
+This model is a fine-tuned version of [unsloth/tinyllama](https://huggingface.co/unsloth/tinyllama) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.3469
+
+## 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
+- distributed_type: multi-GPU
+- num_devices: 8
+- total_train_batch_size: 8
+- total_eval_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: 335
+- num_epochs: 100
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| No log        | 0.0019 | 1    | 3.1687          |
+| 1.4763        | 0.0931 | 50   | 1.4450          |
+| 1.3149        | 0.1862 | 100  | 1.3312          |
+| 1.3618        | 0.2793 | 150  | 1.3268          |
+| 1.396         | 0.3724 | 200  | 1.3320          |
+| 1.4143        | 0.4655 | 250  | 1.3690          |
+| 1.3715        | 0.5587 | 300  | 1.3469          |
+
+
+### Framework versions
+
+- PEFT 0.13.2
+- Transformers 4.46.0
+- Pytorch 2.5.0+cu124
+- Datasets 3.0.1
+- Tokenizers 0.20.1

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