End of training

README.md

@@ -1,4 +1,167 @@
 ---
-license: apache-2.0
-pipeline_tag: text-generation
----
+license: llama2
+library_name: peft
+tags:
+- axolotl
+- generated_from_trainer
+base_model: codellama/CodeLlama-7b-hf
+model-index:
+- name: EvilCodeLlama-7b
+  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: `0.3.0`
+```yaml
+base_model: codellama/CodeLlama-7b-hf
+base_model_config: codellama/CodeLlama-7b-hf
+model_type: LlamaForCausalLM
+tokenizer_type: LlamaTokenizer
+is_llama_derived_model: true
+hub_model_id: EvilCodeLlama-7b
+
+load_in_8bit: false
+load_in_4bit: true
+strict: false
+
+datasets:
+  - path: dhuynh95/Magicoder-Evol-Instruct-110K-Filtered_0.35
+    type: alpaca
+dataset_prepared_path: last_run_prepared
+val_set_size: 0.02
+output_dir: ./qlora-out-evil-codellama
+
+adapter: qlora
+lora_model_dir:
+
+eval_sample_packing: false
+sequence_len: 2048
+sample_packing: true
+
+lora_r: 32
+lora_alpha: 16
+lora_dropout: 0.05
+lora_target_modules:
+lora_target_linear: true
+lora_fan_in_fan_out:
+
+wandb_project: axolotl
+wandb_entity:
+wandb_watch:
+wandb_run_id:
+wandb_log_model:
+
+gradient_accumulation_steps: 4
+micro_batch_size: 16
+num_epochs: 1
+optimizer: paged_adamw_32bit
+lr_scheduler: cosine
+learning_rate: 0.0002
+
+train_on_inputs: true
+group_by_length: false
+bf16: true
+fp16: false
+tf32: false
+
+gradient_checkpointing: true
+early_stopping_patience:
+resume_from_checkpoint:
+local_rank:
+logging_steps: 1
+xformers_attention:
+flash_attention: true
+
+warmup_steps: 100
+eval_steps: 0.01
+save_strategy: epoch
+save_steps:
+debug:
+deepspeed:
+weight_decay: 0.0
+fsdp:
+fsdp_config:
+special_tokens:
+  bos_token: "<s>"
+  eos_token: "</s>"
+  unk_token: "<unk>"
+```
+
+</details><br>
+
+# EvilCodeLlama-7b
+
+This model is a fine-tuned version of [codellama/CodeLlama-7b-hf](https://huggingface.co/codellama/CodeLlama-7b-hf) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.1701
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 100
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.2543        | 0.04  | 1    | 1.2447          |
+| 1.2781        | 0.08  | 2    | 1.2445          |
+| 1.2677        | 0.12  | 3    | 1.2446          |
+| 1.2725        | 0.16  | 4    | 1.2447          |
+| 1.2704        | 0.21  | 5    | 1.2440          |
+| 1.2572        | 0.25  | 6    | 1.2442          |
+| 1.2875        | 0.29  | 7    | 1.2439          |
+| 1.2672        | 0.33  | 8    | 1.2434          |
+| 1.2601        | 0.37  | 9    | 1.2430          |
+| 1.2808        | 0.41  | 10   | 1.2421          |
+| 1.2665        | 0.45  | 11   | 1.2411          |
+| 1.2572        | 0.49  | 12   | 1.2400          |
+| 1.2505        | 0.54  | 13   | 1.2384          |
+| 1.264         | 0.58  | 14   | 1.2365          |
+| 1.2809        | 0.62  | 15   | 1.2338          |
+| 1.2054        | 0.66  | 16   | 1.2308          |
+| 1.2732        | 0.7   | 17   | 1.2269          |
+| 1.2586        | 0.74  | 18   | 1.2219          |
+| 1.2939        | 0.78  | 19   | 1.2161          |
+| 1.2713        | 0.82  | 20   | 1.2086          |
+| 1.2154        | 0.87  | 21   | 1.2008          |
+| 1.213         | 0.91  | 22   | 1.1917          |
+| 1.2183        | 0.95  | 23   | 1.1813          |
+| 1.1594        | 0.99  | 24   | 1.1701          |
+
+
+### Framework versions
+
+- PEFT 0.7.2.dev0
+- Transformers 4.37.0.dev0
+- Pytorch 2.0.1+cu117
+- Datasets 2.16.1
+- Tokenizers 0.15.0

adapter_model.bin

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