End of training

README.md

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+---
+license: other
+library_name: peft
+tags:
+- axolotl
+- generated_from_trainer
+base_model: deepseek-ai/deepseek-coder-6.7b-instruct
+model-index:
+- name: diff-deepseek-chunked
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+[<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)
+<details><summary>See axolotl config</summary>
+
+axolotl version: `0.4.0`
+```yaml
+base_model: deepseek-ai/deepseek-coder-6.7b-instruct
+model_type: LlamaForCausalLM
+tokenizer_type: LlamaTokenizerFast
+
+load_in_8bit: true
+load_in_4bit: false
+strict: false
+
+datasets:
+  - path: vdaita/editpackft_inst_chunked
+    split: train
+    type: oasst
+dataset_prepared_path:
+
+test_datasets:
+  - path: vdaita/editpackft_inst_chunked
+    split: test
+    type: oasst
+
+output_dir: ./outputs/dscoder-code-chunked
+
+sequence_len: 4096
+sample_packing: true
+pad_to_sequence_len: true
+
+eval_sample_packing: false
+
+adapter: lora
+lora_model_dir:
+lora_r: 32
+lora_alpha: 16
+lora_dropout: 0.05
+lora_target_linear: true
+lora_fan_in_fan_out:
+
+lora_modules_to_save:
+  - embed_tokens
+  - lm_head
+
+wandb_project: huggingface
+wandb_log_model: axolotl-dscoder-chunked
+
+hub_model_id: vdaita/diff-deepseek-chunked
+hub_strategy: every_save
+
+gradient_accumulation_steps: 4
+micro_batch_size: 2
+num_epochs: 1
+optimizer: adamw_bnb_8bit
+lr_scheduler: cosine
+learning_rate: 0.0002
+
+train_on_inputs: false
+group_by_length: false
+bf16: auto
+fp16:
+tf32: false
+
+gradient_checkpointing: true
+early_stopping_patience:
+resume_from_checkpoint:
+local_rank:
+logging_steps: 1
+xformers_attention:
+flash_attention: true
+s2_attention:
+
+warmup_steps: 10
+evals_per_epoch: 4
+saves_per_epoch: 1
+debug:
+deepspeed:
+weight_decay: 0.0
+fsdp:
+fsdp_config:
+
+special_tokens:
+  bos_token: "<|begin_of_sentence|>"
+  eos_token: "<|end_of_sentence|>"
+  pad_token: "<|end_of_sentence|>"
+
+```
+
+</details><br>
+
+# diff-deepseek-chunked
+
+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.
+It achieves the following results on the evaluation set:
+- Loss: 0.1518
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.0002
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 2
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 16
+- total_eval_batch_size: 4
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 10
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.3814        | 0.02  | 1    | 0.4192          |
+| 0.2903        | 0.26  | 12   | 0.2214          |
+| 0.1675        | 0.52  | 24   | 0.1642          |
+| 0.1936        | 0.78  | 36   | 0.1518          |
+
+
+### Framework versions
+
+- PEFT 0.10.0
+- Transformers 4.40.0.dev0
+- Pytorch 2.3.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.15.0

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