Model save

README.md

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+---
+license: apache-2.0
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: mistralai/Mistral-7B-Instruct-v0.2
+model-index:
+- name: mistral-lora
+  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: mistralai/Mistral-7B-Instruct-v0.2
+model_type: AutoModelForCausalLM
+tokenizer_type: LlamaTokenizer
+is_mistral_derived_model: true
+load_in_8bit: false
+load_in_4bit: false
+strict: false
+chat_template: inst
+
+datasets:
+  - path: ./data/raw_format/tool_used_training.jsonl
+    type: sharegpt
+  - path: ./data/raw_format/tool_not_used_training.jsonl
+    type: sharegpt
+  - path: ./data/raw_format/no_tools_training.jsonl
+    type: sharegpt
+
+dataset_prepared_path: last_run_prepared
+val_set_size: 0.1
+output_dir: ../../text-generation-webui/loras/mistral-instruct-raw-format-v2-more-positive-new-tokens-inst
+
+adapter: lora
+lora_model_dir:
+
+sequence_len: 4096
+sample_packing: true
+pad_to_sequence_len: true
+
+lora_r: 16
+lora_alpha: 16
+lora_dropout: 0.1
+lora_target_linear: true
+lora_fan_in_fan_out:
+
+lora_modules_to_save:
+ - embed_tokens
+ - lm_head
+
+tokens:
+  function_token: "[f]"
+  conversation_token: "[c]"
+
+hub_model_id: liuylhf/mistral-lora
+
+wandb_project: function-call
+wandb_name: mixtral-instruct-qlora-v1
+wandb_log_model: end
+
+gradient_accumulation_steps: 4
+micro_batch_size: 2
+num_epochs: 1
+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: auto
+fp16:
+tf32: false
+
+gradient_checkpointing: true
+early_stopping_patience:
+resume_from_checkpoint:
+local_rank:
+logging_steps: 1
+xformers_attention:
+flash_attention: true
+
+# loss_watchdog_threshold: 5.0
+# loss_watchdog_patience: 3
+
+warmup_steps: 10
+# evals_per_epoch: 20
+# eval_steps: 0.1
+save_steps: 0.1
+eval_table_size:
+eval_max_new_tokens: 256
+# saves_per_epoch: 1
+debug:
+deepspeed:
+weight_decay: 1.0
+fsdp:
+fsdp_config:
+```
+
+</details><br>
+
+# mistral-lora
+
+This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) 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: 2
+- eval_batch_size: 2
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 2
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 16
+- total_eval_batch_size: 4
+- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-05
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 10
+- num_epochs: 1
+
+### Framework versions
+
+- PEFT 0.8.2
+- Transformers 4.38.0.dev0
+- Pytorch 2.2.0+cu121
+- Datasets 2.17.1
+- Tokenizers 0.15.0

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