End of training

README.md

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+---
+license: apache-2.0
+library_name: peft
+tags:
+- axolotl
+- generated_from_trainer
+base_model: EleutherAI/pythia-410m-deduped
+model-index:
+- name: 2bc524d3-39c3-413f-86ea-7a7851e7528b
+  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: EleutherAI/pythia-410m-deduped
+bf16: auto
+dataset_prepared_path: null
+datasets:
+- data_files:
+  - adcc810a6ceb3267_train_data.json
+  ds_type: json
+  format: custom
+  path: adcc810a6ceb3267_train_data.json
+  type:
+    field: null
+    field_input: domain
+    field_instruction: sentence
+    field_output: triples
+    field_system: null
+    format: null
+    no_input_format: null
+    system_format: '{system}'
+    system_prompt: ''
+early_stopping_patience: null
+evals_per_epoch: 2
+gradient_accumulation_steps: 1
+group_by_length: false
+hub_model_id: taopanda-1/2bc524d3-39c3-413f-86ea-7a7851e7528b
+learning_rate: 1.0e-05
+load_in_8bit: true
+local_rank: null
+logging_steps: 1
+lora_alpha: 32
+lora_dropout: 0.05
+lora_fan_in_fan_out: true
+lora_model_dir: null
+lora_r: 16
+lora_target_linear: null
+lora_target_modules:
+- query_key_value
+micro_batch_size: 4
+num_epochs: 1
+output_dir: ./outputs/lora-alpaca-pythia/taopanda-1_6b76e44c-62d5-4a35-a480-c808b829ee0b
+resume_from_checkpoint: null
+seed: 96247
+sequence_len: 512
+special_tokens:
+  pad_token: <|endoftext|>
+tf32: true
+train_on_inputs: false
+trust_remote_code: true
+val_set_size: 0.05
+wandb_entity: fatcat87-taopanda
+wandb_log_model: null
+wandb_mode: online
+wandb_name: taopanda-1_6b76e44c-62d5-4a35-a480-c808b829ee0b
+wandb_project: subnet56
+wandb_runid: taopanda-1_6b76e44c-62d5-4a35-a480-c808b829ee0b
+wandb_watch: null
+weight_decay: 0.1
+
+```
+
+</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/qpp21cc7)
+# 2bc524d3-39c3-413f-86ea-7a7851e7528b
+
+This model is a fine-tuned version of [EleutherAI/pythia-410m-deduped](https://huggingface.co/EleutherAI/pythia-410m-deduped) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.4366
+
+## 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: 1e-05
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 96247
+- distributed_type: multi-GPU
+- num_devices: 4
+- total_train_batch_size: 16
+- total_eval_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 23
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 3.7662        | 0.0013 | 1    | 3.5014          |
+| 1.521         | 0.5006 | 399  | 1.4366          |
+
+
+### 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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