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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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- generated_from_trainer |
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base_model: deepseek-ai/deepseek-coder-33b-instruct |
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model-index: |
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- name: lora-logo_fix_epoch3_deepseek33b_gpt35i_lr_0.0002_alpha_1024_r_1024 |
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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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adapter: lora |
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base_model: deepseek-ai/deepseek-coder-33b-instruct |
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bf16: auto |
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dataset_prepared_path: ./logo_ds_preprocess_list_gpt35 |
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datasets: |
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- path: ../logo/fix_synthetic_int_images_data.jsonl |
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type: |
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field_instruction: input |
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field_output: output |
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format: '### Instruction: |
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{input} |
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### Response: |
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' |
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no_input_format: '{instruction}' |
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debug: null |
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deepspeed: ./deepspeed_configs/zero2.json |
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early_stopping_patience: null |
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eval_sample_packing: true |
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evals_per_epoch: 4 |
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flash_attention: true |
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fp16: null |
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fsdp: null |
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fsdp_config: null |
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gradient_accumulation_steps: 2 |
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gradient_checkpointing: true |
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group_by_length: false |
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is_llama_derived_model: true |
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learning_rate: 0.0002 |
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load_in_4bit: false |
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load_in_8bit: true |
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local_rank: null |
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logging_steps: 1 |
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lora_alpha: 1024 |
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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: 1024 |
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lora_target_linear: true |
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lr_scheduler: cosine |
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micro_batch_size: 4 |
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model_type: AutoModelForCausalLM |
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num_epochs: 3 |
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optimizer: adamw_bnb_8bit |
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output_dir: ./lora-logo_fix_epoch3_deepseek33b_gpt35i_lr_0.0002_alpha_1024_r_1024 |
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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: true |
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saves_per_epoch: 1 |
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sequence_len: 1800 |
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special_tokens: |
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bos_token: "<\uFF5Cbegin\u2581of\u2581sentence\uFF5C>" |
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eos_token: <|EOT|> |
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strict: true |
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tf32: false |
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tokenizer_type: AutoTokenizer |
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train_on_inputs: false |
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val_set_size: 0.05 |
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wandb_entity: null |
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wandb_log_model: null |
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wandb_name: logo_fix_epoch3_deepseek33b_gpt35i_lr_0.0002_alpha_1024_r_1024 |
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wandb_project: pbe-axo |
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wandb_watch: null |
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warmup_steps: 20 |
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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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# lora-logo_fix_epoch3_deepseek33b_gpt35i_lr_0.0002_alpha_1024_r_1024 |
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This model is a fine-tuned version of [deepseek-ai/deepseek-coder-33b-instruct](https://huggingface.co/deepseek-ai/deepseek-coder-33b-instruct) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2293 |
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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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- distributed_type: multi-GPU |
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- num_devices: 8 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 64 |
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- total_eval_batch_size: 32 |
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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: 20 |
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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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| 2.1791 | 0.0 | 1 | 2.1669 | |
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| 0.3312 | 0.25 | 71 | 0.3153 | |
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| 0.2906 | 0.5 | 142 | 0.2985 | |
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| 0.3079 | 0.75 | 213 | 0.2801 | |
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| 0.2859 | 1.0 | 284 | 0.2649 | |
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| 0.2544 | 1.23 | 355 | 0.2583 | |
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| 0.2291 | 1.49 | 426 | 0.2502 | |
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| 0.2632 | 1.74 | 497 | 0.2428 | |
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| 0.25 | 1.99 | 568 | 0.2341 | |
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| 0.1832 | 2.22 | 639 | 0.2356 | |
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| 0.2051 | 2.47 | 710 | 0.2316 | |
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| 0.2041 | 2.72 | 781 | 0.2293 | |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.40.0.dev0 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
