End of training

README.md

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+---
+license: apache-2.0
+library_name: peft
+tags:
+- axolotl
+- generated_from_trainer
+base_model: NousResearch/Yarn-Mistral-7b-64k
+model-index:
+- name: taopanda-2_0a956f4b-2530-421e-9d67-9975bdd289dc
+  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: `0.4.1`
+```yaml
+adapter: lora
+base_model: NousResearch/Yarn-Mistral-7b-64k
+bf16: auto
+dataset_prepared_path: last_run_prepared
+datasets:
+- data_files:
+  - 7708f8a044b2986d_train_data.json
+  ds_type: json
+  format: custom
+  path: 7708f8a044b2986d_train_data.json
+  type:
+    field: null
+    field_input: null
+    field_instruction: prompt
+    field_output: chosen
+    field_system: null
+    format: null
+    no_input_format: null
+    system_format: '{system}'
+    system_prompt: ''
+debug: null
+deepspeed: null
+early_stopping_patience: null
+eval_max_new_tokens: 128
+eval_table_size: null
+evals_per_epoch: 4
+flash_attention: true
+fp16: null
+fsdp: null
+fsdp_config: null
+gradient_accumulation_steps: 4
+gradient_checkpointing: true
+group_by_length: false
+hub_model_id: FatCat87/taopanda-2_0a956f4b-2530-421e-9d67-9975bdd289dc
+learning_rate: 0.0002
+load_in_4bit: false
+load_in_8bit: true
+local_rank: null
+logging_steps: 1
+lora_alpha: 16
+lora_dropout: 0.05
+lora_fan_in_fan_out: null
+lora_model_dir: null
+lora_r: 32
+lora_target_linear: true
+lora_target_modules:
+- gate_proj
+- down_proj
+- up_proj
+- q_proj
+- v_proj
+- k_proj
+- o_proj
+loss_watchdog_patience: 3
+loss_watchdog_threshold: 5.0
+lr_scheduler: cosine
+micro_batch_size: 2
+model_type: MistralForCausalLM
+num_epochs: 1
+optimizer: adamw_bnb_8bit
+output_dir: ./outputs/lora-out/taopanda-2_0a956f4b-2530-421e-9d67-9975bdd289dc
+pad_to_sequence_len: true
+resume_from_checkpoint: null
+sample_packing: true
+saves_per_epoch: 1
+seed: 29496
+sequence_len: 8192
+special_tokens:
+  pad_token: </s>
+strict: false
+tf32: false
+tokenizer_type: LlamaTokenizer
+train_on_inputs: false
+val_set_size: 0.1
+wandb_entity: fatcat87-taopanda
+wandb_log_model: null
+wandb_mode: online
+wandb_name: taopanda-2_0a956f4b-2530-421e-9d67-9975bdd289dc
+wandb_project: subnet56
+wandb_runid: taopanda-2_0a956f4b-2530-421e-9d67-9975bdd289dc
+wandb_watch: null
+warmup_steps: 10
+weight_decay: 0.0
+xformers_attention: null
+
+```
+
+</details><br>
+
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/fatcat87-taopanda/subnet56/runs/eica4c2z)
+# taopanda-2_0a956f4b-2530-421e-9d67-9975bdd289dc
+
+This model is a fine-tuned version of [NousResearch/Yarn-Mistral-7b-64k](https://huggingface.co/NousResearch/Yarn-Mistral-7b-64k) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.3950
+
+## 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: 0.0002
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 29496
+- 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=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 10
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 2.019         | 0.0208 | 1    | 2.0295          |
+| 1.5424        | 0.25   | 12   | 1.5162          |
+| 1.4308        | 0.5    | 24   | 1.4270          |
+| 1.3993        | 0.75   | 36   | 1.3999          |
+| 1.3966        | 1.0    | 48   | 1.3950          |
+
+
+### Framework versions
+
+- PEFT 0.11.1
+- Transformers 4.42.3
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

adapter_model.bin

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