End of training

README.md

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+---
+license: apache-2.0
+base_model: kaist-ai/mpa-Mistral-7b-v0.2-hf-sft-66k
+tags:
+- axolotl
+- dpo
+- trl
+- dpo
+- generated_from_trainer
+model-index:
+- name: mpa-Mistral-7b-v0.2-hf-66k-dpo-5e-7
+  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: kaist-ai/mpa-Mistral-7b-v0.2-hf-sft-66k
+model_type: MistralForCausalLM
+tokenizer_type: LlamaTokenizer
+
+load_in_8bit: false
+load_in_4bit: false
+strict: false
+
+rl: dpo
+datasets:
+  - path: kaist-ai/mpa-train-dpo-66k
+    type: chatml.argilla
+    # conversation: mistral
+      
+dataset_prepared_path:
+hub_model_id: kaist-ai/mpa-Mistral-7b-v0.2-hf-66k-dpo-5e-7
+hub_strategy: checkpoint
+# val_set_size: 0
+output_dir: /mnt/nas/seongyun/axolotl/outputs/mpa_66k_dpo-5e-7
+
+sequence_len: 2048
+sample_packing: false
+pad_to_sequence_len: true
+eval_sample_packing: false
+
+wandb_project: mpa
+wandb_entity: seongyun
+wandb_watch:
+wandb_name: mpa_mistral-7b-v0.2-hf-66k-dpo-5e-7
+wandb_log_model:
+
+gradient_accumulation_steps: 4
+micro_batch_size: 1
+num_epochs: 2
+optimizer: adamw_bnb_8bit
+lr_scheduler: cosine
+learning_rate: 0.0000005
+
+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
+
+warmup_steps: 10
+# evals_per_epoch: 4
+eval_table_size:
+# eval_max_new_tokens: 128
+saves_per_epoch: 1
+debug:
+deepspeed:
+weight_decay: 0.0
+fsdp:
+fsdp_config:
+special_tokens:
+
+```
+
+</details><br>
+
+# mpa-Mistral-7b-v0.2-hf-66k-dpo-5e-7
+
+This model is a fine-tuned version of [kaist-ai/mpa-Mistral-7b-v0.2-hf-sft-66k](https://huggingface.co/kaist-ai/mpa-Mistral-7b-v0.2-hf-sft-66k) 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: 5e-07
+- train_batch_size: 1
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 16
+- total_eval_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 10
+- training_steps: 8143
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.40.0.dev0
+- Pytorch 2.1.1
+- Datasets 2.15.0
+- Tokenizers 0.15.0

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "do_sample": true,
+  "eos_token_id": 2,
+  "transformers_version": "4.40.0.dev0"
+}

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