| | --- |
| | license: other |
| | library_name: peft |
| | tags: |
| | - axolotl |
| | - generated_from_trainer |
| | base_model: google/gemma-2b |
| | model-index: |
| | - name: gemma_odia_2b |
| | 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: `0.4.0` |
| | ```yaml |
| | # use google/gemma-7b if you have access |
| | base_model: google/gemma-2b |
| | model_type: AutoModelForCausalLM |
| | tokenizer_type: AutoTokenizer |
| | |
| | load_in_8bit: false |
| | load_in_4bit: true |
| | strict: false |
| | |
| | # huggingface repo |
| | datasets: |
| | - path: OdiaGenAIdata/culturax-odia |
| | type: completion |
| | val_set_size: 0.1 |
| | output_dir: ./gemma-odia-2b-pretrain |
| | hub_model_id: sam2ai/gemma_odia_2b |
| | |
| | adapter: qlora |
| | lora_r: 32 |
| | lora_alpha: 16 |
| | lora_dropout: 0.05 |
| | lora_target_linear: true |
| | |
| | sequence_len: 4096 |
| | sample_packing: true |
| | pad_to_sequence_len: true |
| | |
| | wandb_project: gemma-completion-2b-odia |
| | wandb_entity: |
| | wandb_watch: |
| | wandb_name: |
| | wandb_log_model: |
| | |
| | |
| | gradient_accumulation_steps: 3 |
| | micro_batch_size: 2 |
| | num_epochs: 10 |
| | 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: false |
| | |
| | warmup_ratio: 0.1 |
| | evals_per_epoch: 4 |
| | eval_table_size: |
| | eval_max_new_tokens: 128 |
| | saves_per_epoch: 1 |
| | debug: |
| | deepspeed: |
| | weight_decay: 0.0 |
| | fsdp: |
| | fsdp_config: |
| | special_tokens: |
| | |
| | ``` |
| |
|
| | </details><br> |
| |
|
| | # gemma_odia_2b |
| |
|
| | This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 13.3986 |
| |
|
| | ## 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: 2 |
| | - eval_batch_size: 2 |
| | - seed: 42 |
| | - distributed_type: multi-GPU |
| | - num_devices: 8 |
| | - gradient_accumulation_steps: 3 |
| | - total_train_batch_size: 48 |
| | - total_eval_batch_size: 16 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: cosine |
| | - lr_scheduler_warmup_steps: 87 |
| | - num_epochs: 10 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:-----:|:---------------:| |
| | | 48.3127 | 0.0 | 1 | 48.2905 | |
| | | 21.4891 | 0.25 | 449 | 21.4957 | |
| | | 25.8116 | 0.5 | 898 | 26.0510 | |
| | | 25.3858 | 0.75 | 1347 | 25.6013 | |
| | | 16.9215 | 1.0 | 1796 | 16.9936 | |
| | | 16.7894 | 1.24 | 2245 | 16.7975 | |
| | | 16.8564 | 1.49 | 2694 | 17.0068 | |
| | | 16.8912 | 1.74 | 3143 | 17.0482 | |
| | | 16.9407 | 1.99 | 3592 | 17.0556 | |
| | | 16.7487 | 2.22 | 4041 | 16.8123 | |
| | | 17.7797 | 2.47 | 4490 | 18.1220 | |
| | | 14.0039 | 2.72 | 4939 | 14.0630 | |
| | | 14.7386 | 2.97 | 5388 | 14.7828 | |
| | | 14.9965 | 3.21 | 5837 | 15.2212 | |
| | | 15.1822 | 3.46 | 6286 | 15.6448 | |
| | | 14.1876 | 3.71 | 6735 | 14.5398 | |
| | | 16.6416 | 3.96 | 7184 | 16.9006 | |
| | | 17.0568 | 4.19 | 7633 | 17.1808 | |
| | | 17.4472 | 4.44 | 8082 | 17.5766 | |
| | | 17.4219 | 4.69 | 8531 | 17.5393 | |
| | | 17.3064 | 4.94 | 8980 | 17.5467 | |
| | | 17.2741 | 5.18 | 9429 | 17.5657 | |
| | | 16.9905 | 5.43 | 9878 | 17.3912 | |
| | | 16.642 | 5.68 | 10327 | 17.1920 | |
| | | 16.6345 | 5.93 | 10776 | 17.1085 | |
| | | 15.5702 | 6.16 | 11225 | 16.0494 | |
| | | 15.3421 | 6.41 | 11674 | 15.9889 | |
| | | 13.1025 | 6.66 | 12123 | 13.1419 | |
| | | 13.1904 | 6.91 | 12572 | 13.2151 | |
| | | 13.261 | 7.15 | 13021 | 13.3119 | |
| | | 13.2333 | 7.4 | 13470 | 13.3195 | |
| | | 13.2705 | 7.65 | 13919 | 13.3380 | |
| | | 13.3417 | 7.9 | 14368 | 13.3804 | |
| | | 13.3553 | 8.13 | 14817 | 13.3902 | |
| | | 13.4078 | 8.38 | 15266 | 13.4614 | |
| | | 13.394 | 8.63 | 15715 | 13.4338 | |
| | | 13.3754 | 8.88 | 16164 | 13.4149 | |
| | | 13.3487 | 9.12 | 16613 | 13.4044 | |
| | | 13.3807 | 9.37 | 17062 | 13.3903 | |
| | | 13.3766 | 9.62 | 17511 | 13.3986 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - PEFT 0.9.0 |
| | - Transformers 4.40.0.dev0 |
| | - Pytorch 2.4.0.dev20240326+rocm6.0 |
| | - Datasets 2.18.0 |
| | - Tokenizers 0.15.0 |
