End of training

README.md

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+---
+base_model: tomaszki/nous-twelve
+tags:
+- axolotl
+- generated_from_trainer
+model-index:
+- name: titos
+  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: tomaszki/nous-twelve
+tokenizer_type: AutoTokenizer
+
+hub_model_id: superfriends/titos
+load_in_8bit: false
+load_in_4bit: false
+strict: false
+
+chat_template: inst
+datasets:
+  - path: winglian/charley
+    type: sharegpt
+    conversation: mistral
+    split: train
+_test_datasets:
+  - path: winglian/latest-barley
+    type: sharegpt
+    conversation: mistral
+    split: test
+dataset_prepared_path: last_run_prepared
+val_set_size: 0.0
+output_dir: ./out
+
+sequence_len: 4096
+sample_packing: true
+pad_to_sequence_len: true
+
+wandb_project: relora-instruct-nous
+wandb_entity: oaaic
+wandb_watch:
+wandb_name: fft
+wandb_log_model:
+
+gradient_accumulation_steps: 1
+micro_batch_size: 4
+num_epochs: 2
+optimizer: adamw_bnb_8bit
+adam_beta1: 0.95
+adam_beta2: 0.9
+adam_epsilon: 0.0001
+max_grad_norm: 1.0
+lr_scheduler: cosine
+learning_rate: 0.000009
+neftune_noise_alpha: 5
+
+train_on_inputs: false
+group_by_length: false
+bf16: auto
+fp16:
+tf32: false
+
+gradient_checkpointing: true
+gradient_checkpointing_kwargs:
+  use_reentrant: True
+early_stopping_patience:
+resume_from_checkpoint:
+local_rank:
+logging_steps: 1
+xformers_attention:
+flash_attention: true
+
+warmup_steps: 20
+evals_per_epoch: 4
+eval_table_size:
+saves_per_epoch: 2
+debug:
+deepspeed: deepspeed_configs/zero1.json # multi-gpu only
+weight_decay: 0.1
+fsdp:
+fsdp_config:
+special_tokens:
+
+```
+
+</details><br>
+
+# titos
+
+This model is a fine-tuned version of [tomaszki/nous-twelve](https://huggingface.co/tomaszki/nous-twelve) 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: 9e-06
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- total_train_batch_size: 32
+- total_eval_batch_size: 32
+- optimizer: Adam with betas=(0.95,0.9) and epsilon=0.0001
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 20
+- num_epochs: 2
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.38.0.dev0
+- Pytorch 2.1.2+cu118
+- Datasets 2.16.1
+- Tokenizers 0.15.0

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