AiAF
/

Pretrained-Adapter-SCP-1B-QLoRA

@@ -1,202 +1,199 @@
 ---
-base_model: meta-llama/Llama-3.2-1B-Instruct
 library_name: peft
 ---
-# Model Card for Model ID
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 ### Framework versions
-- PEFT 0.14.0

 ---
 library_name: peft
+license: llama3.2
+base_model: meta-llama/Llama-3.2-1B-Instruct
+tags:
+- axolotl
+- generated_from_trainer
+datasets:
+- pretraining.jsonl
+model-index:
+- name: Pretrained-SCP-1B-QLoRA
+  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: `0.8.0.dev0`
+```yaml
+base_model: meta-llama/Llama-3.2-1B-Instruct
+# Automatically upload checkpoint and final model to HF
+hub_model_id: AiAF/Pretrained-SCP-1B-QLoRA
+load_in_8bit: false
+load_in_4bit: true
+strict: false
+datasets:
+  - path: pretraining.jsonl
+    type: completion
+dataset_prepared_path: last_run_prepared
+val_set_size: 0.1
+output_dir: ./outputs/qlora-out/Pretrained-SCP-1B-QLoRA
+adapter: qlora
+lora_model_dir:
+sequence_len: 2048
+sample_packing: true
+eval_sample_packing: true
+pad_to_sequence_len: true
+lora_r: 32
+lora_alpha: 16
+lora_dropout: 0.05
+lora_fan_in_fan_out:
+lora_target_modules:
+  - gate_proj
+  - down_proj
+  - up_proj
+  - q_proj
+  - v_proj
+  - k_proj
+  - o_proj
+wandb_project: "LLM-Pretraining"
+wandb_entity:
+wandb_watch: "all"
+wandb_name: "Pretrained-SCP-7B-Instruct"
+wandb_log_model: "false"
+gradient_accumulation_steps: 3
+micro_batch_size: 10
+num_epochs: 1
+optimizer: adamw_bnb_8bit
+lr_scheduler: cosine
+learning_rate: 0.0002
+train_on_inputs: false
+group_by_length: false
+bf16: auto
+fp16:
+tf32: false
+gradient_checkpointing: true
+early_stopping_patience:
+resume_from_checkpoint:
+local_rank:
+logging_steps: 1
+xformers_attention:
+flash_attention: true
+loss_watchdog_threshold: 5.0
+loss_watchdog_patience: 3
+warmup_steps: 10
+evals_per_epoch: 50
+eval_table_size:
+eval_max_new_tokens: 128
+saves_per_epoch: 10
+debug:
+deepspeed:
+weight_decay: 0.0
+fsdp:
+fsdp_config:
+special_tokens:
+  pad_token: "<|end_of_text|>"
+```
+</details><br>
+# Pretrained-SCP-1B-QLoRA
+This model is a fine-tuned version of [meta-llama/Llama-3.2-1B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct) on the pretraining.jsonl dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.2062
+## 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: 10
+- eval_batch_size: 10
+- seed: 42
+- gradient_accumulation_steps: 3
+- total_train_batch_size: 30
+- optimizer: Use OptimizerNames.ADAMW_BNB 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
+- num_epochs: 1.0
+### Training results
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 3.0841        | 0.0020 | 1    | 3.0001          |
+| 2.8276        | 0.0215 | 11   | 2.8296          |
+| 2.3977        | 0.0431 | 22   | 2.5255          |
+| 2.2856        | 0.0646 | 33   | 2.4384          |
+| 2.3735        | 0.0862 | 44   | 2.4082          |
+| 2.3645        | 0.1077 | 55   | 2.3861          |
+| 2.1425        | 0.1292 | 66   | 2.3694          |
+| 2.1541        | 0.1508 | 77   | 2.3545          |
+| 2.2848        | 0.1723 | 88   | 2.3410          |
+| 2.2334        | 0.1939 | 99   | 2.3310          |
+| 2.1278        | 0.2154 | 110  | 2.3213          |
+| 2.159         | 0.2369 | 121  | 2.3112          |
+| 2.1407        | 0.2585 | 132  | 2.3006          |
+| 1.9851        | 0.2800 | 143  | 2.2915          |
+| 2.0319        | 0.3016 | 154  | 2.2839          |
+| 2.2373        | 0.3231 | 165  | 2.2755          |
+| 2.1488        | 0.3446 | 176  | 2.2684          |
+| 2.0218        | 0.3662 | 187  | 2.2612          |
+| 1.9256        | 0.3877 | 198  | 2.2552          |
+| 2.0179        | 0.4093 | 209  | 2.2486          |
+| 2.0768        | 0.4308 | 220  | 2.2448          |
+| 2.1068        | 0.4523 | 231  | 2.2408          |
+| 2.1343        | 0.4739 | 242  | 2.2356          |
+| 2.2212        | 0.4954 | 253  | 2.2342          |
+| 2.0442        | 0.5170 | 264  | 2.2302          |
+| 2.0805        | 0.5385 | 275  | 2.2256          |
+| 1.9695        | 0.5601 | 286  | 2.2230          |
+| 1.8559        | 0.5816 | 297  | 2.2206          |
+| 2.0997        | 0.6031 | 308  | 2.2185          |
+| 2.0168        | 0.6247 | 319  | 2.2164          |
+| 1.9304        | 0.6462 | 330  | 2.2148          |
+| 1.9313        | 0.6678 | 341  | 2.2132          |
+| 2.1708        | 0.6893 | 352  | 2.2119          |
+| 2.0596        | 0.7108 | 363  | 2.2109          |
+| 2.1944        | 0.7324 | 374  | 2.2099          |
+| 2.0098        | 0.7539 | 385  | 2.2094          |
+| 2.0344        | 0.7755 | 396  | 2.2087          |
+| 2.1658        | 0.7970 | 407  | 2.2080          |
+| 2.1188        | 0.8185 | 418  | 2.2078          |
+| 1.879         | 0.8401 | 429  | 2.2072          |
+| 1.9652        | 0.8616 | 440  | 2.2068          |
+| 2.0429        | 0.8832 | 451  | 2.2066          |
+| 2.3038        | 0.9047 | 462  | 2.2064          |
+| 2.153         | 0.9262 | 473  | 2.2063          |
+| 2.0543        | 0.9478 | 484  | 2.2062          |
+| 2.0093        | 0.9693 | 495  | 2.2062          |
+| 2.2437        | 0.9909 | 506  | 2.2062          |
 ### Framework versions
+- PEFT 0.14.0
+- Transformers 4.49.0
+- Pytorch 2.5.1+cu124
+- Datasets 3.2.0
+- Tokenizers 0.21.0