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--- |
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library_name: peft |
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tags: |
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- generated_from_trainer |
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base_model: scb10x/typhoon-7b |
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model-index: |
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- name: work/out |
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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: ./models/scb10x_typhoon-7b |
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model_type: MistralForCausalLM |
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tokenizer_type: LlamaTokenizer |
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is_mistral_derived_model: 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: ./work/thai_food.json |
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type: completion |
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dataset_prepared_path: ./work/last_run_prepared |
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val_set_size: 0.1 |
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output_dir: ./work/out |
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# lora_modules_to_save: |
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# - embed_tokens |
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# - lm_head |
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adapter: qlora |
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lora_model_dir: |
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sequence_len: 4096 |
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sample_packing: false |
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eval_sample_packing: false |
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pad_to_sequence_len: true |
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gpu_memory_limit: 20 |
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lora_r: 64 |
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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: typhoon-7b |
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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: 3 |
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optimizer: paged_adamw_8bit |
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lr_scheduler: cosine |
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learning_rate: 0.0004 |
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train_on_inputs: false |
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group_by_length: false |
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bf16: true |
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fp16: false |
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tf32: false |
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gradient_checkpointing: true |
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early_stopping_patience: 3 |
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resume_from_checkpoint: false |
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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: true |
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# loss_watchdog_threshold: 5.0 |
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# loss_watchdog_patience: 3 |
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warmup_ratio: 0.01 |
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# evals_per_epoch: 10 |
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eval_steps: 2 |
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eval_table_size: |
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eval_table_max_new_tokens: 128 |
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# saves_per_epoch: 10 |
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save_steps: 2 |
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save_total_limit: 20 |
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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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``` |
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</details><br> |
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# work/out |
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This model was trained from scratch on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.9505 |
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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: 0.0004 |
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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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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 8 |
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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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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.8268 | 0.13 | 2 | 2.4822 | |
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| 2.4085 | 0.25 | 4 | 2.2715 | |
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| 2.2752 | 0.38 | 6 | 2.1985 | |
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| 2.4104 | 0.51 | 8 | 2.1000 | |
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| 2.0149 | 0.63 | 10 | 2.0255 | |
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| 2.1234 | 0.76 | 12 | 1.9926 | |
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| 2.2013 | 0.89 | 14 | 1.9894 | |
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| 1.8355 | 1.02 | 16 | 1.9684 | |
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| 1.4604 | 1.14 | 18 | 1.9610 | |
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| 1.6539 | 1.27 | 20 | 1.9517 | |
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| 1.5531 | 1.4 | 22 | 1.9414 | |
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| 1.4649 | 1.52 | 24 | 1.9230 | |
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| 1.464 | 1.65 | 26 | 1.9214 | |
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| 1.3731 | 1.78 | 28 | 1.9116 | |
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| 1.4451 | 1.9 | 30 | 1.8922 | |
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| 1.3635 | 2.03 | 32 | 1.8885 | |
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| 1.1453 | 2.16 | 34 | 1.9034 | |
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| 1.0397 | 2.29 | 36 | 1.9281 | |
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| 0.9735 | 2.41 | 38 | 1.9505 | |
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### Framework versions |
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- PEFT 0.7.1 |
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- Transformers 4.37.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
