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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: deepseek-ai/deepseek-coder-6.7b-instruct |
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model-index: |
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- name: diff-deepseek-code-ir |
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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: deepseek-ai/deepseek-coder-6.7b-instruct |
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model_type: LlamaForCausalLM |
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tokenizer_type: LlamaTokenizerFast |
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load_in_8bit: true |
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load_in_4bit: false |
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strict: false |
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datasets: |
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- path: vdaita/editpackft_inst_code |
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split: train |
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type: oasst |
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dataset_prepared_path: |
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test_datasets: |
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- path: vdaita/editpackft_inst_code |
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split: test |
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type: oasst |
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output_dir: ./outputs/dscoder-code-ir-4 |
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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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eval_sample_packing: false |
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adapter: lora |
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lora_model_dir: |
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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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lora_fan_in_fan_out: |
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lora_modules_to_save: |
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- embed_tokens |
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- lm_head |
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wandb_project: huggingface |
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wandb_log_model: axolotl-dscoder-code-3 |
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hub_model_id: vdaita/diff-deepseek-code-ir |
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hub_strategy: every_save |
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gradient_accumulation_steps: 4 |
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micro_batch_size: 2 |
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num_epochs: 1 |
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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: true |
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s2_attention: |
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warmup_steps: 10 |
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evals_per_epoch: 4 |
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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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bos_token: "<|begin_of_sentence|>" |
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eos_token: "<|end_of_sentence|>" |
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pad_token: "<|end_of_sentence|>" |
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``` |
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</details><br> |
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# diff-deepseek-code-ir |
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This model is a fine-tuned version of [deepseek-ai/deepseek-coder-6.7b-instruct](https://huggingface.co/deepseek-ai/deepseek-coder-6.7b-instruct) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2549 |
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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: 2 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 16 |
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- total_eval_batch_size: 4 |
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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: 10 |
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- num_epochs: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.5233 | 0.02 | 1 | 0.5554 | |
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| 0.3976 | 0.25 | 13 | 0.3534 | |
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| 0.3354 | 0.51 | 26 | 0.2805 | |
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| 0.2759 | 0.76 | 39 | 0.2549 | |
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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 2.3.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.15.0 |
