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--- |
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library_name: peft |
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license: apache-2.0 |
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base_model: unsloth/SmolLM-360M-Instruct |
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tags: |
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- axolotl |
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- generated_from_trainer |
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model-index: |
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- name: f263595e-91dc-4dbc-aee8-42a3b57e2dde |
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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/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl) |
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<details><summary>See axolotl config</summary> |
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axolotl version: `0.4.1` |
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```yaml |
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adapter: lora |
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base_model: unsloth/SmolLM-360M-Instruct |
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bf16: auto |
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chat_template: llama3 |
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dataset_prepared_path: null |
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datasets: |
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- data_files: |
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- 902ecde58c94c532_train_data.json |
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ds_type: json |
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format: custom |
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path: /workspace/input_data/902ecde58c94c532_train_data.json |
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type: |
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field_input: original_version |
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field_instruction: title |
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field_output: french_version |
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format: '{instruction} {input}' |
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no_input_format: '{instruction}' |
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system_format: '{system}' |
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system_prompt: '' |
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debug: null |
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deepspeed: null |
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device_map: auto |
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do_eval: true |
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early_stopping_patience: 3 |
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eval_batch_size: 4 |
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eval_max_new_tokens: 128 |
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eval_steps: 300 |
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eval_table_size: null |
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evals_per_epoch: null |
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flash_attention: true |
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fp16: false |
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fsdp: null |
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fsdp_config: null |
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gradient_accumulation_steps: 4 |
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gradient_checkpointing: false |
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group_by_length: true |
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hub_model_id: robiulawaldev/f263595e-91dc-4dbc-aee8-42a3b57e2dde |
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hub_strategy: end |
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learning_rate: 0.0002 |
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load_in_4bit: false |
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load_in_8bit: false |
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local_rank: null |
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logging_steps: 50 |
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lora_alpha: 64 |
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lora_dropout: 0.05 |
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lora_fan_in_fan_out: null |
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lora_model_dir: null |
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lora_r: 32 |
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lora_target_linear: true |
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lr_scheduler: constant |
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max_grad_norm: 1.0 |
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max_memory: |
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0: 75GB |
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max_steps: 17953 |
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micro_batch_size: 4 |
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mlflow_experiment_name: /tmp/902ecde58c94c532_train_data.json |
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model_type: AutoModelForCausalLM |
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num_epochs: 10 |
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optim_args: |
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adam_beta1: 0.9 |
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adam_beta2: 0.95 |
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adam_epsilon: 1e-5 |
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optimizer: adamw_bnb_8bit |
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output_dir: miner_id_24 |
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pad_to_sequence_len: true |
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resume_from_checkpoint: null |
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s2_attention: null |
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sample_packing: false |
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save_steps: 300 |
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saves_per_epoch: null |
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sequence_len: 512 |
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strict: false |
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tf32: true |
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tokenizer_type: AutoTokenizer |
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train_on_inputs: false |
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trust_remote_code: true |
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val_set_size: 0.05 |
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wandb_entity: null |
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wandb_mode: online |
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wandb_name: fb292aae-3bf8-4614-82a9-5c9ce7b3f999 |
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wandb_project: SN56-36 |
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wandb_run: your_name |
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wandb_runid: fb292aae-3bf8-4614-82a9-5c9ce7b3f999 |
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warmup_steps: 50 |
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weight_decay: 0.0 |
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xformers_attention: null |
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``` |
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</details><br> |
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# f263595e-91dc-4dbc-aee8-42a3b57e2dde |
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This model is a fine-tuned version of [unsloth/SmolLM-360M-Instruct](https://huggingface.co/unsloth/SmolLM-360M-Instruct) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9729 |
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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: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 16 |
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- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=adam_beta1=0.9,adam_beta2=0.95,adam_epsilon=1e-5 |
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- lr_scheduler_type: constant |
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- lr_scheduler_warmup_steps: 50 |
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- training_steps: 17953 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:-----:|:---------------:| |
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| No log | 0.0002 | 1 | 2.4685 | |
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| 1.6913 | 0.0510 | 300 | 1.6545 | |
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| 1.5228 | 0.1021 | 600 | 1.5083 | |
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| 1.4568 | 0.1531 | 900 | 1.4199 | |
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| 1.3707 | 0.2042 | 1200 | 1.3690 | |
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| 1.3347 | 0.2552 | 1500 | 1.3241 | |
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| 1.2919 | 0.3063 | 1800 | 1.2925 | |
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| 1.2462 | 0.3573 | 2100 | 1.2656 | |
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| 1.2175 | 0.4083 | 2400 | 1.2438 | |
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| 1.2624 | 0.4594 | 2700 | 1.2318 | |
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| 1.216 | 0.5104 | 3000 | 1.2081 | |
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| 1.2401 | 0.5615 | 3300 | 1.1880 | |
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| 1.2172 | 0.6125 | 3600 | 1.1763 | |
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| 1.1768 | 0.6635 | 3900 | 1.1606 | |
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| 1.1733 | 0.7146 | 4200 | 1.1570 | |
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| 1.1503 | 0.7656 | 4500 | 1.1437 | |
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| 1.1261 | 0.8167 | 4800 | 1.1351 | |
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| 1.124 | 0.8677 | 5100 | 1.1233 | |
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| 1.1614 | 0.9188 | 5400 | 1.1161 | |
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| 1.1346 | 0.9698 | 5700 | 1.1063 | |
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| 1.0797 | 1.0208 | 6000 | 1.1005 | |
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| 1.0431 | 1.0719 | 6300 | 1.0961 | |
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| 1.0795 | 1.1229 | 6600 | 1.0894 | |
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| 1.0587 | 1.1740 | 6900 | 1.0853 | |
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| 1.0899 | 1.2250 | 7200 | 1.0778 | |
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| 1.0412 | 1.2761 | 7500 | 1.0717 | |
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| 1.0829 | 1.3271 | 7800 | 1.0683 | |
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| 1.0652 | 1.3781 | 8100 | 1.0639 | |
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| 1.0164 | 1.4292 | 8400 | 1.0583 | |
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| 1.0589 | 1.4802 | 8700 | 1.0534 | |
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| 1.0337 | 1.5313 | 9000 | 1.0461 | |
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| 1.0161 | 1.5823 | 9300 | 1.0440 | |
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| 1.0422 | 1.6333 | 9600 | 1.0420 | |
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| 1.0025 | 1.6844 | 9900 | 1.0345 | |
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| 0.9963 | 1.7354 | 10200 | 1.0337 | |
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| 1.0322 | 1.7865 | 10500 | 1.0311 | |
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| 1.0424 | 1.8375 | 10800 | 1.0278 | |
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| 0.9842 | 1.8886 | 11100 | 1.0204 | |
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| 0.9802 | 1.9396 | 11400 | 1.0150 | |
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| 0.9941 | 1.9906 | 11700 | 1.0127 | |
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| 0.9759 | 2.0417 | 12000 | 1.0113 | |
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| 0.9635 | 2.0927 | 12300 | 1.0088 | |
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| 0.941 | 2.1438 | 12600 | 1.0050 | |
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| 0.9635 | 2.1948 | 12900 | 1.0041 | |
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| 0.9709 | 2.2459 | 13200 | 1.0028 | |
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| 0.9631 | 2.2969 | 13500 | 1.0006 | |
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| 0.9533 | 2.3479 | 13800 | 0.9955 | |
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| 0.9762 | 2.3990 | 14100 | 0.9941 | |
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| 0.9899 | 2.4500 | 14400 | 0.9924 | |
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| 0.9706 | 2.5011 | 14700 | 0.9898 | |
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| 0.9315 | 2.5521 | 15000 | 0.9859 | |
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| 0.9224 | 2.6031 | 15300 | 0.9868 | |
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| 1.0113 | 2.6542 | 15600 | 0.9829 | |
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| 0.9251 | 2.7052 | 15900 | 0.9817 | |
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| 1.0008 | 2.7563 | 16200 | 0.9793 | |
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| 0.9723 | 2.8073 | 16500 | 0.9787 | |
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| 0.9673 | 2.8584 | 16800 | 0.9739 | |
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| 0.9519 | 2.9094 | 17100 | 0.9714 | |
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| 0.9699 | 2.9604 | 17400 | 0.9713 | |
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| 0.93 | 3.0115 | 17700 | 0.9729 | |
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### Framework versions |
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- PEFT 0.13.2 |
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- Transformers 4.46.0 |
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- Pytorch 2.5.0+cu124 |
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- Datasets 3.0.1 |
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- Tokenizers 0.20.1 |
