End of training

README.md

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+---
+license: llama2
+library_name: peft
+tags:
+- axolotl
+- dpo
+- trl
+- generated_from_trainer
+base_model: codellama/CodeLlama-7b-hf
+model-index:
+- name: modeltest1-dpo
+  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: codellama/CodeLlama-7b-hf
+model_type: LlamaForCausalLM
+tokenizer_type: CodeLlamaTokenizer
+is_llama_derived_model: true
+
+hub_model_id: noeloco/modeltest1-dpo
+
+load_in_8bit: false
+load_in_4bit: true
+strict: false
+
+datasets:
+  - path: noeloco/fizzbuzz-sft
+    type: alpaca
+    ds_type: json
+
+hf_use_auth_token: true
+push_dataset_to_hub: noeloco
+val_set_size: 0.05
+output_dir: ./lora-out
+chat_template: chatml
+
+rl: dpo
+datasets:
+    - path: noeloco/fizzbuzz-dpo
+      split: train
+      data_files: 
+        - /tmp/fizzbuzz-ft/datasets/training-set-dpo.json  
+        #type:
+        # field_prompt: question
+        # field_chosen: chosen
+        # field_rejected: rejected
+      ds_type: json
+        #type: intel_apply_chatml
+      type: chatml.intel
+
+hf_use_auth_token: true
+push_dataset_to_hub: noeloco
+val_set_size: 0.05
+output_dir: ./lora-out
+chat_template: chatml
+
+
+sequence_len: 2048
+sample_packing: false
+pad_to_sequence_len: true
+
+adapter: lora
+lora_model_dir:
+lora_r: 16
+lora_alpha: 8
+lora_dropout: 0.05
+lora_target_linear: true
+lora_fan_in_fan_out:
+
+wandb_project: runpod1
+wandb_entity:
+wandb_watch:
+wandb_name: 
+wandb_log_model:
+
+gradient_accumulation_steps: 1
+micro_batch_size: 2
+num_epochs: 3
+optimizer: paged_adamw_32bit
+lr_scheduler: cosine
+learning_rate: 0.0002
+
+train_on_inputs: false
+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: 10
+evals_per_epoch: 4
+saves_per_epoch: 1
+debug: true
+deepspeed:
+weight_decay: 0.0
+fsdp:
+fsdp_config:
+special_tokens:
+  bos_token: "<s>"
+  eos_token: "</s>"
+  unk_token: "<unk>"
+
+```
+
+</details><br>
+
+# modeltest1-dpo
+
+This model is a fine-tuned version of [codellama/CodeLlama-7b-hf](https://huggingface.co/codellama/CodeLlama-7b-hf) on the None dataset.
+
+## 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: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 10
+- training_steps: 222
+
+### Training results
+
+
+
+### Framework versions
+
+- PEFT 0.10.1.dev0
+- Transformers 4.40.0.dev0
+- Pytorch 2.1.2+cu118
+- Datasets 2.15.0
+- Tokenizers 0.15.0

pytorch_model.bin

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