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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: google/gemma-2b |
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model-index: |
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- name: gemma_odia_2b |
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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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# use google/gemma-7b if you have access |
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base_model: google/gemma-2b |
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model_type: AutoModelForCausalLM |
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tokenizer_type: AutoTokenizer |
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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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# huggingface repo |
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datasets: |
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- path: OdiaGenAIdata/culturax-odia |
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type: completion |
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val_set_size: 0.1 |
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output_dir: ./gemma-odia-2b-pretrain |
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hub_model_id: sam2ai/gemma_odia_2b |
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adapter: qlora |
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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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sequence_len: 4096 |
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sample_packing: true |
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pad_to_sequence_len: true |
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wandb_project: gemma-completion-2b-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: 3 |
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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: true |
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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: false |
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warmup_ratio: 0.1 |
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evals_per_epoch: 4 |
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eval_table_size: |
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eval_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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# gemma_odia_2b |
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This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 13.3986 |
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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: 3 |
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- total_train_batch_size: 48 |
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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: 87 |
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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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| 48.3127 | 0.0 | 1 | 48.2905 | |
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| 21.4891 | 0.25 | 449 | 21.4957 | |
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| 25.8116 | 0.5 | 898 | 26.0510 | |
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| 25.3858 | 0.75 | 1347 | 25.6013 | |
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| 16.9215 | 1.0 | 1796 | 16.9936 | |
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| 16.7894 | 1.24 | 2245 | 16.7975 | |
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| 16.8564 | 1.49 | 2694 | 17.0068 | |
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| 16.8912 | 1.74 | 3143 | 17.0482 | |
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| 16.9407 | 1.99 | 3592 | 17.0556 | |
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| 16.7487 | 2.22 | 4041 | 16.8123 | |
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| 17.7797 | 2.47 | 4490 | 18.1220 | |
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| 14.0039 | 2.72 | 4939 | 14.0630 | |
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| 14.7386 | 2.97 | 5388 | 14.7828 | |
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| 14.9965 | 3.21 | 5837 | 15.2212 | |
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| 15.1822 | 3.46 | 6286 | 15.6448 | |
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| 14.1876 | 3.71 | 6735 | 14.5398 | |
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| 16.6416 | 3.96 | 7184 | 16.9006 | |
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| 17.0568 | 4.19 | 7633 | 17.1808 | |
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| 17.4472 | 4.44 | 8082 | 17.5766 | |
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| 17.4219 | 4.69 | 8531 | 17.5393 | |
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| 17.3064 | 4.94 | 8980 | 17.5467 | |
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| 17.2741 | 5.18 | 9429 | 17.5657 | |
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| 16.9905 | 5.43 | 9878 | 17.3912 | |
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| 16.642 | 5.68 | 10327 | 17.1920 | |
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| 16.6345 | 5.93 | 10776 | 17.1085 | |
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| 15.5702 | 6.16 | 11225 | 16.0494 | |
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| 15.3421 | 6.41 | 11674 | 15.9889 | |
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| 13.1025 | 6.66 | 12123 | 13.1419 | |
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| 13.1904 | 6.91 | 12572 | 13.2151 | |
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| 13.261 | 7.15 | 13021 | 13.3119 | |
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| 13.2333 | 7.4 | 13470 | 13.3195 | |
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| 13.2705 | 7.65 | 13919 | 13.3380 | |
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| 13.3417 | 7.9 | 14368 | 13.3804 | |
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| 13.3553 | 8.13 | 14817 | 13.3902 | |
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| 13.4078 | 8.38 | 15266 | 13.4614 | |
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| 13.394 | 8.63 | 15715 | 13.4338 | |
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| 13.3754 | 8.88 | 16164 | 13.4149 | |
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| 13.3487 | 9.12 | 16613 | 13.4044 | |
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| 13.3807 | 9.37 | 17062 | 13.3903 | |
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| 13.3766 | 9.62 | 17511 | 13.3986 | |
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### Framework versions |
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- PEFT 0.9.0 |
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- Transformers 4.40.0.dev0 |
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- Pytorch 2.4.0.dev20240326+rocm6.0 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.0 |
