wandb
/

Mixtral-8x7b-Remixtral

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 ---
 library_name: peft
 base_model: mistralai/Mixtral-8x7B-v0.1
 ---
-# Model Card for Model ID
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-## Model Details
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 ## Training procedure

 ---
+license: apache-2.0
 library_name: peft
+tags:
+- generated_from_trainer
 base_model: mistralai/Mixtral-8x7B-v0.1
+model-index:
+- name: Mixtral-8x7b-Remixtral
+  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: mistralai/Mixtral-8x7B-v0.1
+model_type: AutoModelForCausalLM
+tokenizer_type: LlamaTokenizer
+trust_remote_code: true
+load_in_8bit: false
+load_in_4bit: true
+strict: false
+datasets:
+  - path: Open-Orca/SlimOrca
+    type: sharegpt
+    conversation: chatml
+dataset_prepared_path: last_run_prepared
+val_set_size: 0.005
+output_dir: /wb-mixtral/slimorca-mixstral-8x7b
+save_total_limit: 1
+hub_model_id:
+dataloader_num_workers: 8
+dataloader_prefetch_factor: 4
+dataloader_pin_memory: true
+adapter: qlora
+lora_model_dir:
+sequence_len: 8192
+sample_packing: true
+pad_to_sequence_len: true
+lora_r: 64
+lora_alpha: 32
+lora_dropout: 0.1
+lora_fan_in_fan_out:
+lora_modules_to_save:
+  - lm_head
+  - embed_tokens
+lora_target_linear: true
+wandb_project: mixtral
+wandb_entity: capecape
+wandb_watch:
+wandb_name:
+wandb_log_model:
+gradient_accumulation_steps: 1
+micro_batch_size: 4
+num_epochs: 2
+optimizer: paged_adamw_8bit
+lr_scheduler: cosine
+learning_rate: 0.001
+adam_beta2: 0.95
+adam_epsilon: 0.00001
+max_grad_norm: 1.0
+train_on_inputs: false
+group_by_length: false
+bf16: true
+fp16: false
+tf32: true
+gradient_checkpointing: true
+early_stopping_patience:
+resume_from_checkpoint:
+local_rank:
+logging_steps: 1
+xformers_attention:
+flash_attention: true
+warmup_steps: 100
+eval_steps: 0.05
+save_steps: 0.25
+debug:
+deepspeed:
+weight_decay: 0.1
+fsdp:
+fsdp_config:
+special_tokens:
+  eos_token: "<|im_end|>"
+tokens:
+  - "<|im_start|>"
+```
+</details><br>
+# Mixtral-8x7b-Remixtral
+This model is a fine-tuned version of [mistralai/Mixtral-8x7B-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-v0.1) on an unknown 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: 0.001
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 32
+- total_eval_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-05
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 25
+- num_epochs: 2
+### Framework versions
+- Transformers 4.37.0.dev0
+- Pytorch 2.1.1+cu118
+- Datasets 2.16.1
+- Tokenizers 0.15.0
 ## Training procedure

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