End of training

README.md

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+---
+library_name: transformers
+license: other
+base_model: Qwen/Qwen2.5-3B
+tags:
+- axolotl
+- generated_from_trainer
+datasets:
+- allenai/tulu-3-sft-mixture
+model-index:
+- name: II-Tulu-3B-SFT
+  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: `0.5.3.dev0`
+```yaml
+wandb_project: llm-training-platform
+wandb_name: II-Tulu-3B-SFT
+datasets:
+- path: allenai/tulu-3-sft-mixture
+  split: train
+  type: chat_template
+  field_messages: messages
+  message_field_role: role
+  message_field_content: content
+  roles:
+    system:
+    - system
+    user:
+    - user
+    assistant:
+    - assistant
+chat_template: qwen_25
+sequence_len: 2048
+base_model: Qwen/Qwen2.5-3B
+output_dir: checkpoints/1357e2cd-76bc-46d5-a394-949b712427c7
+dataset_prepared_path: checkpoints/1357e2cd-76bc-46d5-a394-949b712427c7/dataset_prepared
+flash_attention: true
+train_on_inputs: false
+pad_to_sequence_len: true
+eval_sample_packing: false
+push_to_hub: true
+bf16: auto
+gradient_checkpointing: true
+logging_steps: 10
+hub_model_id: phunguyen01/II-Tulu-3B-SFT
+learning_rate: 5.0e-06
+micro_batch_size: 8
+num_epochs: 2
+seed: 42
+gradient_accumulation_steps: 2
+sample_packing: true
+val_set_size: 0
+
+```
+
+</details><br>
+
+# II-Tulu-3B-SFT
+
+This model is a fine-tuned version of [Qwen/Qwen2.5-3B](https://huggingface.co/Qwen/Qwen2.5-3B) on the allenai/tulu-3-sft-mixture dataset.
+
+## 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-06
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 128
+- total_eval_batch_size: 64
+- optimizer: Use adamw_hf 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: 100
+- num_epochs: 2
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.47.0
+- Pytorch 2.4.0+cu121
+- Datasets 3.1.0
+- Tokenizers 0.21.0

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