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--- |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: SmolLM-Ora |
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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: /media/renfroe/llms/SmolLM-360M/ |
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model_type: LlamaForCausalLM |
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tokenizer_type: GPT2Tokenizer |
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seed: 122887 |
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load_in_8bit: false |
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load_in_4bit: false |
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strict: false |
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max_steps: 0 |
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resume_from_checkpoint: |
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datasets: |
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- path: /home/renfroe/Desktop/sqa_tiny-llama_dataset/Dynamic_Optimization_Methods_with_Applications_sqa_answers_only.json |
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type: |
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field_instruction: question |
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field_output: answer |
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format: "<|im_start|>user\n{instruction}<|im_end|>\n<|im_start|>assistant\n" |
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no_input_format: "<|im_start|>user\n{instruction}<|im_end|>\n<|im_start|>assistant\n" |
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- path: /home/renfroe/Dev/tinyllama-models/dataset/open_hermes_top_tech.json |
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type: sharegpt |
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- path: /home/renfroe/Desktop/sqa_tiny-llama_dataset/hermes_prior_knowledge_question_expansion_with_answers.json |
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type: |
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field_instruction: question |
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field_output: answer |
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format: "<|im_start|>user\n{instruction}<|im_end|>\n<|im_start|>assistant\n" |
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no_input_format: "<|im_start|>user\n{instruction}<|im_end|>\n<|im_start|>assistant\n" |
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- path: /home/renfroe/Desktop/sqa_tiny-llama_dataset/hermes_prior_knowledge_question_expansion_with_answers.json |
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type: |
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field_instruction: question |
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field_output: answer |
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format: "<|im_start|>user\n{instruction}<|im_end|>\n<|im_start|>assistant\n" |
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no_input_format: "<|im_start|>user\n{instruction}<|im_end|>\n<|im_start|>assistant\n" |
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- path: /home/renfroe/Desktop/sqa_tiny-llama_dataset/or-farm_sharegpt.json |
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type: sharegpt |
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dataset_prepared_path: |
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val_set_size: 0.2 |
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output_dir: ./SmolLM-Ora |
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auto_resume_from_checkpoints: false |
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sequence_len: 2048 |
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sample_packing: true |
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chat_template: chatml |
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wandb_project: SmolLM-Ora |
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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: 1 |
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micro_batch_size: 10 |
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num_epochs: 4 |
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optimizer: adamw_bnb_8bit |
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lr_scheduler: linear |
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weight_decay: 0.0000001 |
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learning_rate: 0.0001 |
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lr_scheduler_kwargs: |
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# num_cycles: 3 |
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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: true |
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eval_sample_packing: False |
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warmup_steps: 50 |
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evals_per_epoch: 4 |
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eval_table_size: |
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saves_per_epoch: 4 |
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debug: |
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deepspeed: |
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fsdp: |
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fsdp_config: |
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special_tokens: |
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bos_token: "<|endoftext|>" |
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eos_token: "<|endoftext|>" |
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pad_token: "<|endoftext|>" |
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``` |
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</details><br> |
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# SmolLM-Ora |
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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: 0.8298 |
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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: 0.0001 |
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- train_batch_size: 10 |
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- eval_batch_size: 10 |
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- seed: 122887 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 50 |
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- num_epochs: 4 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.0131 | 0.01 | 1 | 1.0419 | |
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| 0.9727 | 0.25 | 27 | 0.9962 | |
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| 0.953 | 0.5 | 54 | 0.9076 | |
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| 0.8494 | 0.75 | 81 | 0.8792 | |
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| 0.9297 | 1.0 | 108 | 0.8632 | |
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| 0.8801 | 1.22 | 135 | 0.8527 | |
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| 0.8133 | 1.47 | 162 | 0.8459 | |
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| 0.8342 | 1.72 | 189 | 0.8410 | |
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| 0.8973 | 1.97 | 216 | 0.8376 | |
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| 0.7731 | 2.19 | 243 | 0.8350 | |
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| 0.8207 | 2.44 | 270 | 0.8332 | |
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| 0.7963 | 2.69 | 297 | 0.8318 | |
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| 0.81 | 2.94 | 324 | 0.8309 | |
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| 0.8351 | 3.18 | 351 | 0.8302 | |
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| 0.8104 | 3.43 | 378 | 0.8299 | |
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| 0.9019 | 3.68 | 405 | 0.8298 | |
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| 0.7828 | 3.93 | 432 | 0.8298 | |
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### Framework versions |
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- Transformers 4.40.0.dev0 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.0 |
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