End of training

README.md

@@ -0,0 +1,151 @@
+---
+library_name: peft
+license: apache-2.0
+base_model: unsloth/SmolLM-360M-Instruct
+tags:
+- axolotl
+- generated_from_trainer
+datasets:
+- ClarenceDan/dataset_fd2c5aea-2c5d-489c-8c05-435c39cec36f
+model-index:
+- name: test-training-fd2c5aea
+  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: `0.6.0`
+```yaml
+adapter: lora
+base_model: unsloth/SmolLM-360M-Instruct
+bf16: auto
+chat_template: llama3
+dataset_prepared_path: /workspace/axolotl/data/prepared
+datasets:
+- ds_type: zip
+  format: custom
+  path: ClarenceDan/dataset_fd2c5aea-2c5d-489c-8c05-435c39cec36f
+  type:
+    field_instruction: prompt
+    field_output: chosen
+    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: false
+fp16: null
+fsdp: null
+fsdp_config: null
+gradient_accumulation_steps: 4
+gradient_checkpointing: false
+group_by_length: false
+hub_model_id: ClarenceDan/test-training-fd2c5aea
+hub_private_repo: true
+hub_repo: null
+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: 16
+lora_dropout: 0.05
+lora_fan_in_fan_out: null
+lora_model_dir: null
+lora_r: 8
+lora_target_linear: true
+lr_scheduler: cosine
+max_steps: 10
+micro_batch_size: 2
+model_type: AutoModelForCausalLM
+num_epochs: 1
+optimizer: adamw_bnb_8bit
+output_dir: /workspace/axolotl/outputs
+pad_to_sequence_len: true
+push_to_hub: true
+resume_from_checkpoint: null
+s2_attention: null
+sample_packing: false
+save_safetensors: true
+saves_per_epoch: 4
+sequence_len: 512
+strict: false
+tf32: false
+tokenizer_type: AutoTokenizer
+train_on_inputs: false
+trust_remote_code: true
+use_accelerate: true
+val_set_size: 0.05
+wandb_entity: null
+wandb_mode: online
+wandb_name: fd2c5aea-2c5d-489c-8c05-435c39cec36f
+wandb_project: Gradients-On-Demand
+wandb_run: your_name
+wandb_runid: fd2c5aea-2c5d-489c-8c05-435c39cec36f
+warmup_steps: 10
+weight_decay: 0.0
+xformers_attention: null
+
+```
+
+</details><br>
+
+# test-training-fd2c5aea
+
+This model is a fine-tuned version of [unsloth/SmolLM-360M-Instruct](https://huggingface.co/unsloth/SmolLM-360M-Instruct) on the ClarenceDan/dataset_fd2c5aea-2c5d-489c-8c05-435c39cec36f dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.6891
+
+## 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: 2
+- eval_batch_size: 2
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 8
+- optimizer: Use adamw_bnb_8bit 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: 10
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 1.5656        | 0.0020 | 3    | 1.6910          |
+| 1.3986        | 0.0040 | 6    | 1.6905          |
+| 1.4801        | 0.0060 | 9    | 1.6891          |
+
+
+### Framework versions
+
+- PEFT 0.14.0
+- Transformers 4.47.1
+- Pytorch 2.5.0a0+e000cf0ad9.nv24.10
+- Datasets 3.1.0
+- Tokenizers 0.21.0