| | --- |
| | base_model: Qwen/CodeQwen1.5-7B-Chat |
| | library_name: peft |
| | license: other |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: workspace/axolotl/vinh/Qwen_CodeQwen1.5-7B-Chat-lora-2024-07-01-02-04-03 |
| | 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/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl) |
| | <details><summary>See axolotl config</summary> |
| |
|
| | axolotl version: `0.4.1` |
| | ```yaml |
| | base_model: Qwen/CodeQwen1.5-7B-Chat |
| | model_type: AutoModelForCausalLM |
| | tokenizer_type: AutoTokenizer |
| | |
| | load_in_8bit: false |
| | load_in_4bit: false |
| | strict: false |
| | |
| | datasets: |
| | - path: /workspace/axolotl/vinh/PAL/input_output_qwen.json |
| | type: input_output |
| | - path: /workspace/axolotl/vinh/INSTRUCT/input_output_qwen.json |
| | type: input_output |
| | dataset_prepared_path: |
| | val_set_size: 0.05 |
| | eval_sample_packing: false |
| | output_dir: /workspace/axolotl/vinh/Qwen_CodeQwen1.5-7B-Chat-lora-2024-07-01-02-04-03 |
| | |
| | sequence_len: 2048 |
| | sample_packing: false |
| | pad_to_sequence_len: false |
| | |
| | adapter: lora |
| | lora_model_dir: |
| | lora_r: 64 |
| | lora_alpha: 128 |
| | lora_dropout: 0.05 |
| | lora_target_linear: true |
| | lora_fan_in_fan_out: |
| | |
| | wandb_project: |
| | wandb_entity: |
| | wandb_watch: |
| | wandb_name: |
| | wandb_log_model: |
| | |
| | gradient_accumulation_steps: 128 |
| | micro_batch_size: 1 |
| | num_epochs: 3 |
| | optimizer: paged_adamw_32bit |
| | lr_scheduler: cosine |
| | learning_rate: 2e-4 |
| | |
| | train_on_inputs: false |
| | group_by_length: false |
| | bf16: auto |
| | fp16: |
| | tf32: false |
| | |
| | gradient_checkpointing: false |
| | early_stopping_patience: |
| | resume_from_checkpoint: |
| | local_rank: |
| | logging_steps: 1 |
| | xformers_attention: |
| | flash_attention: true |
| | s2_attention: |
| | |
| | loss_watchdog_threshold: 5.0 |
| | loss_watchdog_patience: 3 |
| | |
| | warmup_steps: 10 |
| | evals_per_epoch: 10 |
| | eval_table_size: |
| | eval_max_new_tokens: 512 |
| | saves_per_epoch: 2 |
| | save_total_limit: 20 |
| | debug: |
| | deepspeed: |
| | weight_decay: 0.0 |
| | fsdp: |
| | fsdp_config: |
| | |
| | ``` |
| |
|
| | </details><br> |
| |
|
| | # workspace/axolotl/vinh/Qwen_CodeQwen1.5-7B-Chat-lora-2024-07-01-02-04-03 |
| | |
| | This model is a fine-tuned version of [Qwen/CodeQwen1.5-7B-Chat](https://huggingface.co/Qwen/CodeQwen1.5-7B-Chat) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.1189 |
| | |
| | ## 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: 1 |
| | - eval_batch_size: 1 |
| | - seed: 42 |
| | - gradient_accumulation_steps: 128 |
| | - total_train_batch_size: 128 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: cosine |
| | - lr_scheduler_warmup_steps: 10 |
| | - num_epochs: 3 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:------:|:----:|:---------------:| |
| | | 0.6497 | 0.0063 | 1 | 0.5999 | |
| | | 0.2252 | 0.1011 | 16 | 0.2502 | |
| | | 0.2024 | 0.2023 | 32 | 0.2020 | |
| | | 0.1581 | 0.3034 | 48 | 0.1804 | |
| | | 0.1912 | 0.4045 | 64 | 0.1682 | |
| | | 0.1692 | 0.5056 | 80 | 0.1580 | |
| | | 0.1401 | 0.6068 | 96 | 0.1516 | |
| | | 0.1204 | 0.7079 | 112 | 0.1463 | |
| | | 0.1336 | 0.8090 | 128 | 0.1420 | |
| | | 0.1339 | 0.9101 | 144 | 0.1380 | |
| | | 0.101 | 1.0113 | 160 | 0.1346 | |
| | | 0.0871 | 1.1124 | 176 | 0.1330 | |
| | | 0.1035 | 1.2135 | 192 | 0.1320 | |
| | | 0.1025 | 1.3146 | 208 | 0.1300 | |
| | | 0.0936 | 1.4158 | 224 | 0.1263 | |
| | | 0.0797 | 1.5169 | 240 | 0.1241 | |
| | | 0.1014 | 1.6180 | 256 | 0.1220 | |
| | | 0.0984 | 1.7191 | 272 | 0.1196 | |
| | | 0.1078 | 1.8203 | 288 | 0.1184 | |
| | | 0.0803 | 1.9214 | 304 | 0.1171 | |
| | | 0.0658 | 2.0225 | 320 | 0.1164 | |
| | | 0.0517 | 2.1236 | 336 | 0.1214 | |
| | | 0.0598 | 2.2248 | 352 | 0.1203 | |
| | | 0.0704 | 2.3259 | 368 | 0.1198 | |
| | | 0.0787 | 2.4270 | 384 | 0.1192 | |
| | | 0.0537 | 2.5281 | 400 | 0.1190 | |
| | | 0.0547 | 2.6293 | 416 | 0.1189 | |
| | | 0.0589 | 2.7304 | 432 | 0.1189 | |
| | | 0.0655 | 2.8315 | 448 | 0.1190 | |
| | | 0.0613 | 2.9326 | 464 | 0.1189 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - PEFT 0.11.1 |
| | - Transformers 4.41.1 |
| | - Pytorch 2.1.2+cu118 |
| | - Datasets 2.19.1 |
| | - Tokenizers 0.19.1 |
