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--- |
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license: other |
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library_name: peft |
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tags: |
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- axolotl |
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- generated_from_trainer |
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base_model: Qwen/Qwen1.5-0.5B |
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model-index: |
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- name: qwen_1.5_odia_0.5b |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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[<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) |
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<details><summary>See axolotl config</summary> |
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axolotl version: `0.4.0` |
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```yaml |
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base_model: Qwen/Qwen1.5-0.5B |
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model_type: AutoModelForCausalLM |
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tokenizer_type: AutoTokenizer |
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# is_qwen_derived_model: true |
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trust_remote_code: true |
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load_in_8bit: false |
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load_in_4bit: true |
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strict: false |
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datasets: |
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- path: OdiaGenAIdata/culturax-odia |
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type: completion |
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dataset_prepared_path: |
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val_set_size: 0.05 |
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output_dir: ./lora-out-qwen-0.5b-odia |
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hub_model_id: sam2ai/qwen_1.5_odia_0.5b |
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sequence_len: 2048 # supports up to 8192 |
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sample_packing: false |
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pad_to_sequence_len: |
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adapter: qlora |
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lora_model_dir: |
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lora_r: 32 |
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lora_alpha: 16 |
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lora_dropout: 0.05 |
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lora_target_linear: true |
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lora_fan_in_fan_out: |
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wandb_project: Qwen-completion-0.5b-odia |
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wandb_entity: |
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wandb_watch: |
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wandb_name: |
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wandb_log_model: |
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gradient_accumulation_steps: 4 |
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micro_batch_size: 2 |
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num_epochs: 10 |
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optimizer: adamw_bnb_8bit |
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lr_scheduler: cosine |
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learning_rate: 0.0002 |
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train_on_inputs: false |
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group_by_length: false |
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bf16: auto |
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fp16: |
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tf32: false |
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gradient_checkpointing: false |
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early_stopping_patience: |
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resume_from_checkpoint: |
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local_rank: |
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logging_steps: 1 |
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xformers_attention: |
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flash_attention: |
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warmup_steps: 10 |
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evals_per_epoch: 4 |
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eval_table_size: |
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eval_table_max_new_tokens: 128 |
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saves_per_epoch: 1 |
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debug: |
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deepspeed: |
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weight_decay: 0.0 |
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fsdp: |
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fsdp_config: |
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special_tokens: |
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``` |
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</details><br> |
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# qwen_1.5_odia_0.5b |
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This model is a fine-tuned version of [Qwen/Qwen1.5-0.5B](https://huggingface.co/Qwen/Qwen1.5-0.5B) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4242 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0002 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 8 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 64 |
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- total_eval_batch_size: 16 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_steps: 10 |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 1.2821 | 0.0 | 1 | 1.2706 | |
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| 0.5906 | 0.25 | 1366 | 0.5987 | |
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| 0.531 | 0.5 | 2732 | 0.5510 | |
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| 0.5095 | 0.75 | 4098 | 0.5236 | |
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| 0.5027 | 1.0 | 5464 | 0.5054 | |
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| 0.5019 | 1.25 | 6830 | 0.4933 | |
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| 0.4798 | 1.5 | 8196 | 0.4845 | |
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| 0.4484 | 1.75 | 9562 | 0.4771 | |
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| 0.4526 | 2.0 | 10928 | 0.4704 | |
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| 0.4498 | 2.25 | 12294 | 0.4657 | |
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| 0.4508 | 2.5 | 13660 | 0.4608 | |
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| 0.4226 | 2.75 | 15026 | 0.4568 | |
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| 0.4161 | 3.0 | 16392 | 0.4539 | |
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| 0.4258 | 3.25 | 17758 | 0.4515 | |
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| 0.428 | 3.5 | 19124 | 0.4489 | |
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| 0.4748 | 3.75 | 20490 | 0.4459 | |
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| 0.4083 | 4.0 | 21856 | 0.4441 | |
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| 0.4278 | 4.25 | 23222 | 0.4423 | |
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| 0.3997 | 4.5 | 24588 | 0.4406 | |
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| 0.4581 | 4.75 | 25954 | 0.4386 | |
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| 0.378 | 5.0 | 27320 | 0.4372 | |
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| 0.4141 | 5.25 | 28686 | 0.4358 | |
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| 0.4017 | 5.5 | 30052 | 0.4344 | |
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| 0.4223 | 5.75 | 31418 | 0.4328 | |
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| 0.426 | 6.0 | 32784 | 0.4317 | |
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| 0.3967 | 6.25 | 34150 | 0.4310 | |
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| 0.3934 | 6.5 | 35516 | 0.4298 | |
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| 0.404 | 6.75 | 36882 | 0.4287 | |
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| 0.3874 | 7.0 | 38248 | 0.4282 | |
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| 0.384 | 7.25 | 39614 | 0.4275 | |
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| 0.3925 | 7.5 | 40980 | 0.4268 | |
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| 0.409 | 7.75 | 42346 | 0.4261 | |
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| 0.3891 | 8.0 | 43712 | 0.4256 | |
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| 0.41 | 8.25 | 45078 | 0.4253 | |
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| 0.3999 | 8.5 | 46444 | 0.4249 | |
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| 0.3874 | 8.75 | 47810 | 0.4247 | |
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| 0.3894 | 9.0 | 49176 | 0.4245 | |
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| 0.3827 | 9.25 | 50542 | 0.4244 | |
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| 0.3815 | 9.5 | 51908 | 0.4243 | |
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| 0.3816 | 9.75 | 53274 | 0.4242 | |
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### Framework versions |
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- PEFT 0.8.2 |
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- Transformers 4.37.0 |
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- Pytorch 2.0.1+gita61a294 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
