End of training

README.md

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+---
+library_name: transformers
+license: llama3.1
+base_model: meta-llama/Llama-3.1-8B
+tags:
+- axolotl
+- generated_from_trainer
+datasets:
+- allenai/tulu-3-sft-mixture
+model-index:
+- name: II-8B-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: `0.6.0`
+```yaml
+wandb_run_id: 2e2444b4-b741-48af-b32c-b5f44f38688f
+wandb_project: llm-training-platform
+wandb_name: II-Tulu-8B-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: llama3
+sequence_len: 2048
+base_model: meta-llama/Llama-3.1-8B
+output_dir: checkpoints/deb3448a-60ae-4ad8-bdc2-06cce8c43d02
+dataset_prepared_path: checkpoints/deb3448a-60ae-4ad8-bdc2-06cce8c43d02/dataset_prepared
+flash_attention: true
+train_on_inputs: false
+pad_to_sequence_len: true
+eval_sample_packing: false
+push_to_hub: true
+bf16: auto
+logging_steps: 10
+hub_model_id: phunguyen01/II-8B-SFT
+learning_rate: 5.0e-06
+micro_batch_size: 2
+num_epochs: 2
+seed: 42
+gradient_accumulation_steps: 2
+sample_packing: true
+val_set_size: 0
+special_tokens:
+   pad_token: <|end_of_text|>
+```
+
+</details><br>
+
+# II-8B-SFT
+
+This model is a fine-tuned version of [meta-llama/Llama-3.1-8B](https://huggingface.co/meta-llama/Llama-3.1-8B) 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: 2
+- eval_batch_size: 2
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 32
+- total_eval_batch_size: 16
+- 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

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 128000,
+  "do_sample": true,
+  "eos_token_id": 128001,
+  "temperature": 0.6,
+  "top_p": 0.9,
+  "transformers_version": "4.47.0"
+}

pytorch_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:11438d851e83636a10fd2dec1d34abdb5547ed818c9d28d78aadb31086592fea
+size 614166