End of training
Browse files- README.md +57 -0
- adapter_config.json +34 -0
- adapter_model.safetensors +3 -0
- training_args.bin +3 -0
README.md
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---
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library_name: peft
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base_model: saresri/pruned_opt
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tags:
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- generated_from_trainer
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model-index:
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- name: opt125m-lora-pruned-wanda-4-8
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results: []
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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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# opt125m-lora-pruned-wanda-4-8
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This model is a fine-tuned version of [saresri/pruned_opt](https://huggingface.co/saresri/pruned_opt) on an unknown dataset.
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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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: 8
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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 adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 1
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- num_epochs: 3
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- mixed_precision_training: Native AMP
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### Training results
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### Framework versions
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- PEFT 0.14.0
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- Transformers 4.47.0
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- Pytorch 2.5.1+cu121
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- Datasets 3.1.0
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- Tokenizers 0.21.0
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adapter_config.json
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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": "saresri/pruned_opt",
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"bias": "none",
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"eva_config": null,
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"exclude_modules": null,
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layer_replication": null,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 32,
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"lora_bias": false,
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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": 16,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"dense",
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"k_proj",
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"v_proj",
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"q_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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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:9d3429de71ddd090759ec1274a4db1f4b7b3e4c77b93e10efbceb835f535d0c1
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size 3548960
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:f1bd7feb9197e886ccdf104d6abdc917cb8dc240e4665f54e39687af015deb70
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size 5304
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