End of training

README.md

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+---
+library_name: transformers
+license: llama3.2
+base_model: meta-llama/Llama-3.2-1B
+tags:
+- axolotl
+- generated_from_trainer
+datasets:
+- alpaca_data.json
+model-index:
+- name: Alpaca-Llama-3.2-3B-Instruct
+  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
+base_model: meta-llama/Llama-3.2-1B
+model_type: LlamaForCausalLM
+tokenizer_type: PreTrainedTokenizerFast
+
+# load_in_4bit: true
+# load_in_8bit: false
+strict: false
+
+save_safetensors: true
+flash_attention: true
+
+auto_resume_from_checkpoints: true
+save_steps: 100
+
+learning_rate: 5e-4
+num_epochs: 3
+micro_batch_size: 8
+gradient_accumulation_steps: 4
+
+hub_model_id: minpeter/Alpaca-Llama-3.2-3B-Instruct
+
+dataset_processes: 5000
+
+# chat_template: jinja
+chat_template_jinja: |
+  {%- for message in messages %}
+      {{- '<|' + message['role'] + '|>\n' }}
+      {{- message['content'] + eos_token }}
+  {%- endfor %}
+  {%- if add_generation_prompt %}
+      {{- '<|assistant|>\n' }}
+  {%- endif %}
+
+datasets:
+  - path: alpaca_data.json
+    type: alpaca
+
+special_tokens:
+  pad_token: <pad>
+
+optimizer: adamw_torch_fused
+lr_scheduler: cosine
+
+wandb_project: "axolotl"
+wandb_entity: "kasfiekfs-e"
+```
+
+</details><br>
+
+# Alpaca-Llama-3.2-3B-Instruct
+
+This model is a fine-tuned version of [meta-llama/Llama-3.2-1B](https://huggingface.co/meta-llama/Llama-3.2-1B) on the alpaca_data.json 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: 0.0005
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 256
+- total_eval_batch_size: 64
+- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 18
+- num_epochs: 3
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.47.1
+- Pytorch 2.5.1+cu124
+- Datasets 3.2.0
+- 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": "4.47.1"
+}

training_args.bin

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