End of training
Browse files- README.md +61 -0
- adapter_config.json +31 -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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license: llama3.2
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base_model: meta-llama/Llama-3.2-1B-Instruct
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tags:
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- generated_from_trainer
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model-index:
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- name: test_tune
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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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# test_tune
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This model is a fine-tuned version of [meta-llama/Llama-3.2-1B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.1745
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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: 0.0005
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- train_batch_size: 1
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- eval_batch_size: 1
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- seed: 42
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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: cosine
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- training_steps: 100
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 2.1701 | 4.1 | 50 | 2.2675 |
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| 1.7542 | 9.1 | 100 | 2.1745 |
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### Framework versions
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- PEFT 0.13.2
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- Transformers 4.46.1
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- Pytorch 2.3.0+cu118
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- Datasets 3.0.2
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- Tokenizers 0.20.1
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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": "meta-llama/Llama-3.2-1B-Instruct",
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"bias": "none",
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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_dropout": 0.1,
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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": 8,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"layers.15.self_attn.k_proj",
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"layers.15.self_attn.q_proj",
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"layers.15.self_attn.o_proj",
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"layers.15.self_attn.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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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:1d11b4a07d96ee2b9056fcf543425ac7a487e7c65c55a285e472d63572ec9664
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size 427056
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:41a32049e11577cd0feb946dd7ef2ea990f0cdbcd165e88cc65b3546e282e922
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size 5176
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