End of training

README.md

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+---
+base_model: meta-llama/Meta-Llama-3-8B-Instruct
+library_name: peft
+license: llama3
+tags:
+- axolotl
+- generated_from_trainer
+model-index:
+- name: l3bgi-sft-qlora-r64
+  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
+# Allow cli options to override these settings.
+strict: false
+
+# Base model settings.
+base_model: meta-llama/Meta-Llama-3-8B-Instruct
+tokenizer_config: meta-llama/Meta-Llama-3-8B-Instruct
+model_type: AutoModelForCausalLM
+
+# Wandb settings
+wandb_entity: collinear
+wandb_project: template-training
+wandb_name: l3smi-sft-qlora-r64
+
+# Output settings
+save_safetensors: true
+hub_model_id: fozziethebeat/l3bgi-sft-qlora-r64
+dataset_prepared_path: data/l3bgi-sft-qlora-r64
+output_dir: models/l3bgi-sft-qlora-r64
+
+# Data format settings
+chat_template: llama3
+datasets:
+  - path: fozziethebeat/alpaca_messages_2k_test
+    split: train
+    type: chat_template
+    chat_template: llama3
+    field_messages: messages 
+    message_field_role: role
+    message_field_content: content
+test_datasets:
+  - path: fozziethebeat/alpaca_messages_2k_test
+    split: test
+    type: chat_template
+    chat_template: llama3
+    field_messages: messages 
+    message_field_role: role
+    message_field_content: content
+
+# Data packing settings
+sequence_len: 512
+train_on_inputs: false
+pad_to_sequence_len: true
+group_by_length: false
+sample_packing: false
+eval_sample_packing: false
+
+# Adapter settings
+adapter: qlora
+lora_model_dir:
+load_in_8bit: false
+load_in_4bit: true
+lora_r: 64
+lora_alpha: 16
+lora_dropout: 0.05
+lora_target_linear: true
+lora_fan_in_fan_out:
+lora_target_modules:
+  - gate_proj
+  - down_proj
+  - up_proj
+  - q_proj
+  - v_proj
+  - k_proj
+  - o_proj
+
+# Computation Format settings
+bf16: true
+fp16:
+tf32: false
+
+# Trainer settings
+gradient_accumulation_steps: 2
+micro_batch_size: 2
+num_epochs: 2
+optimizer: adamw_torch
+lr_scheduler: cosine
+learning_rate: 1e-5
+loss_watchdog_threshold: 5.0
+loss_watchdog_patience: 3
+
+gradient_checkpointing: true
+early_stopping_patience:
+resume_from_checkpoint:
+local_rank:
+logging_steps: 1
+xformers_attention:
+#flash_attention: true
+
+warmup_steps: 10
+eval_table_size:
+eval_max_new_tokens: 128
+evals_per_epoch: 4
+saves_per_epoch: 1
+debug:
+weight_decay: 0.01
+special_tokens:
+  pad_token: <|end_of_text|>
+deepspeed:
+fsdp:
+
+```
+
+</details><br>
+
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/collinear/template-training/runs/pav37wt6)
+# l3bgi-sft-qlora-r64
+
+This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.0220
+
+## 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: 1e-05
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 4
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 10
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 1.0859        | 0.0022 | 1    | 1.3374          |
+| 0.9847        | 0.2497 | 111  | 1.1122          |
+| 1.203         | 0.4994 | 222  | 1.0451          |
+| 1.3916        | 0.7492 | 333  | 1.0307          |
+| 0.7893        | 0.9989 | 444  | 1.0251          |
+| 1.0244        | 1.2486 | 555  | 1.0228          |
+| 0.6814        | 1.4983 | 666  | 1.0221          |
+| 0.9408        | 1.7480 | 777  | 1.0224          |
+| 1.0832        | 1.9978 | 888  | 1.0220          |
+
+
+### Framework versions
+
+- PEFT 0.11.1
+- Transformers 4.43.0.dev0
+- Pytorch 2.3.1+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1