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End of training

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README.md ADDED
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+ ---
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+ library_name: peft
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+ license: other
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+ base_model: facebook/opt-1.3b
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+ tags:
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+ - axolotl
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+ - generated_from_trainer
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+ model-index:
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+ - name: 8ce7712c-dc28-4d2a-a587-a9ed7ebea561
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ [<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
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+ <details><summary>See axolotl config</summary>
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+
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+ axolotl version: `0.4.1`
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+ ```yaml
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+ adapter: lora
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+ base_model: facebook/opt-1.3b
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+ bf16: auto
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+ chat_template: llama3
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+ dataset_prepared_path: null
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+ datasets:
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+ - data_files:
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+ - e3fc0fb6fa7b5f74_train_data.json
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+ ds_type: json
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+ format: custom
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+ path: /workspace/input_data/e3fc0fb6fa7b5f74_train_data.json
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+ type:
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+ field_input: captions_background
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+ field_instruction: captions_objects
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+ field_output: intention
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+ format: '{instruction} {input}'
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+ no_input_format: '{instruction}'
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+ system_format: '{system}'
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+ system_prompt: ''
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+ debug: null
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+ deepspeed: null
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+ device_map: auto
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+ do_eval: true
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+ early_stopping_patience: 3
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+ eval_batch_size: 4
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+ eval_max_new_tokens: 128
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+ eval_steps: 200
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+ eval_table_size: null
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+ evals_per_epoch: null
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+ flash_attention: true
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+ fp16: false
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+ fsdp: null
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+ fsdp_config: null
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+ gradient_accumulation_steps: 4
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+ gradient_checkpointing: false
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+ group_by_length: true
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+ hub_model_id: daniel40/8ce7712c-dc28-4d2a-a587-a9ed7ebea561
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+ hub_strategy: end
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+ learning_rate: 0.0002
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+ load_in_4bit: false
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+ load_in_8bit: false
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+ local_rank: null
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+ logging_steps: 50
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+ lora_alpha: 64
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+ lora_dropout: 0.05
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+ lora_fan_in_fan_out: null
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+ lora_model_dir: null
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+ lora_r: 32
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+ lora_target_linear: true
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+ lr_scheduler: constant
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+ max_grad_norm: 1.0
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+ max_memory:
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+ 0: 75GB
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+ max_steps: 11976
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+ micro_batch_size: 4
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+ mlflow_experiment_name: /tmp/e3fc0fb6fa7b5f74_train_data.json
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+ model_type: AutoModelForCausalLM
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+ num_epochs: 10
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+ optim_args:
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+ adam_beta1: 0.9
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+ adam_beta2: 0.95
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+ adam_epsilon: 1e-5
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+ optimizer: adamw_bnb_8bit
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+ output_dir: miner_id_24
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+ pad_to_sequence_len: true
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+ resume_from_checkpoint: null
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+ s2_attention: null
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+ sample_packing: false
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+ save_steps: 200
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+ saves_per_epoch: null
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+ sequence_len: 512
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+ strict: false
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+ tf32: true
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+ tokenizer_type: AutoTokenizer
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+ train_on_inputs: false
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+ trust_remote_code: true
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+ val_set_size: 0.05
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+ wandb_entity: null
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+ wandb_mode: online
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+ wandb_name: f99b8c7e-1407-4367-b478-4a2db108a2aa
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+ wandb_project: SN56-31
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+ wandb_run: your_name
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+ wandb_runid: f99b8c7e-1407-4367-b478-4a2db108a2aa
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+ warmup_steps: 50
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+ weight_decay: 0.0
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+ xformers_attention: null
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+
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+ ```
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+
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+ </details><br>
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+
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+ # 8ce7712c-dc28-4d2a-a587-a9ed7ebea561
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+
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+ This model is a fine-tuned version of [facebook/opt-1.3b](https://huggingface.co/facebook/opt-1.3b) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.8231
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 0.0002
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+ - train_batch_size: 4
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+ - eval_batch_size: 4
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+ - seed: 42
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 16
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+ - optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=adam_beta1=0.9,adam_beta2=0.95,adam_epsilon=1e-5
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+ - lr_scheduler_type: constant
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+ - lr_scheduler_warmup_steps: 50
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+ - training_steps: 11976
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:------:|:----:|:---------------:|
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+ | No log | 0.0008 | 1 | 3.2675 |
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+ | 8.5624 | 0.1502 | 200 | 2.1655 |
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+ | 8.0936 | 0.3005 | 400 | 2.0766 |
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+ | 7.9694 | 0.4507 | 600 | 2.0075 |
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+ | 7.8552 | 0.6009 | 800 | 1.9688 |
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+ | 7.5627 | 0.7512 | 1000 | 1.9507 |
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+ | 7.4742 | 0.9014 | 1200 | 1.9243 |
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+ | 6.7507 | 1.0516 | 1400 | 1.8781 |
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+ | 6.8244 | 1.2019 | 1600 | 1.8591 |
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+ | 6.9061 | 1.3521 | 1800 | 1.8638 |
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+ | 6.7918 | 1.5023 | 2000 | 1.8555 |
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+ | 7.1304 | 1.6526 | 2200 | 1.8411 |
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+ | 6.9232 | 1.8028 | 2400 | 1.8471 |
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+ | 6.8078 | 1.9531 | 2600 | 1.8423 |
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+ | 6.1059 | 2.1033 | 2800 | 1.8408 |
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+ | 6.0818 | 2.2535 | 3000 | 1.8387 |
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+ | 6.2078 | 2.4038 | 3200 | 1.8219 |
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+ | 6.2686 | 2.5540 | 3400 | 1.8092 |
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+ | 6.2953 | 2.7042 | 3600 | 1.8076 |
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+ | 6.1756 | 2.8545 | 3800 | 1.8028 |
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+ | 6.1817 | 3.0047 | 4000 | 1.7978 |
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+ | 5.3803 | 3.1549 | 4200 | 1.8239 |
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+ | 5.4685 | 3.3052 | 4400 | 1.8339 |
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+ | 5.4595 | 3.4554 | 4600 | 1.8231 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.13.2
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+ - Transformers 4.46.0
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+ - Pytorch 2.5.0+cu124
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+ - Datasets 3.0.1
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+ - Tokenizers 0.20.1
adapter_config.json ADDED
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+ {
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+ "alpha_pattern": {},
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+ "auto_mapping": null,
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+ "base_model_name_or_path": "facebook/opt-1.3b",
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+ "bias": "none",
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+ "fan_in_fan_out": null,
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+ "inference_mode": true,
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+ "init_lora_weights": true,
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+ "layers_to_transform": null,
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+ "loftq_config": {},
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+ "lora_alpha": 64,
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+ "lora_dropout": 0.05,
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+ "megatron_config": null,
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+ "megatron_core": "megatron.core",
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+ "modules_to_save": null,
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+ "peft_type": "LORA",
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+ "r": 32,
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+ "rank_pattern": {},
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+ "v_proj"
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+ ],
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+ "task_type": "CAUSAL_LM",
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+ "use_dora": false,
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+ "use_rslora": false
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+ }
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config.json ADDED
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+ "_attn_implementation_autoset": true,
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+ "_name_or_path": "facebook/opt-1.3b",
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+ "_remove_final_layer_norm": false,
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+ "activation_dropout": 0.0,
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+ "activation_function": "relu",
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+ "architectures": [
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+ "word_embed_proj_dim": 2048
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+ }
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