End of training

README.md

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+---
+tags:
+- axolotl
+- generated_from_trainer
+model-index:
+- name: llama31-it-preference_data_v2_800K_wsafety
+  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/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
+<details><summary>See axolotl config</summary>
+
+axolotl version: `0.4.1`
+```yaml
+adapter: null
+base_model: /var/lib/condor/execute/slot1/dir_3405246/llama31_pretrain_pad
+bf16: true
+dataset_prepared_path: /var/lib/condor/execute/slot1/dir_3405246/prepare
+dataset_processes: 48
+datasets:
+- conversation: llama-3
+  path: RLHFlow/preference_data_v2_80K_wsafety
+  split: train
+  train_on_split: train
+  type: sharegpt.load_ultrachat
+ddp: null
+debug: null
+deepspeed: null
+early_stopping_patience: null
+eval_steps: null
+eval_table_max_new_tokens: null
+eval_table_size: null
+flash_attention: false
+fp16: false
+fsdp: null
+fsdp_config: null
+gradient_accumulation_steps: 16
+gradient_checkpointing: true
+group_by_length: false
+hub_model_id: RyanYr/llama31-it-preference_data_v2_800K_wsafety
+hub_strategy: every_save
+learning_rate: 2.0e-06
+load_in_4bit: false
+load_in_8bit: false
+local_rank: null
+logging_steps: 2
+lora_model_dir: null
+lr_scheduler: cosine
+max_grad_norm: 1.0
+micro_batch_size: 2
+model_type: AutoModelForCausalLM
+num_epochs: 1
+optimizer: paged_adamw_32bit
+output_dir: /var/lib/condor/execute/slot1/dir_3405246/output-08-14-2024-10:43
+pad_to_sequence_len: true
+sample_packing: true
+save_safetensors: true
+save_steps: 100
+save_strategy: steps
+save_total_limit: 1
+sequence_len: 4096
+special_tokens: null
+strict: false
+tokenizer_type: AutoTokenizer
+train_on_inputs: false
+trust_remote_code: true
+val_set_size: 0.0
+wandb_entity: yyr
+wandb_log_model: null
+wandb_name: llama31-8b-it_preference_data_v2_80K_wsafety
+wandb_project: preference-models
+wandb_watch: null
+warmup_ratio: 0.03
+weight_decay: 0.0
+xformers_attention: null
+
+```
+
+</details><br>
+
+# llama31-it-preference_data_v2_800K_wsafety
+
+This model was trained from scratch 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: 2e-06
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- gradient_accumulation_steps: 16
+- total_train_batch_size: 128
+- total_eval_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 32
+- num_epochs: 1
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.44.0
+- Pytorch 2.1.2+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 128000,
+  "do_sample": true,
+  "eos_token_id": [
+    128001,
+    128008,
+    128009
+  ],
+  "transformers_version": "4.44.0"
+}