marcus2000
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saiga_double_lora200
Browse files- README.md +69 -0
- adapter_config.json +29 -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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tags:
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- generated_from_trainer
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base_model: TheBloke/Llama-2-7B-fp16
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model-index:
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- name: saiga_double_lora200
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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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# saiga_double_lora200
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This model is a fine-tuned version of [TheBloke/Llama-2-7B-fp16](https://huggingface.co/TheBloke/Llama-2-7B-fp16) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.4338
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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: 0.0003
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- train_batch_size: 2
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 10
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- total_train_batch_size: 20
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- training_steps: 200
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 1.5965 | 2.86 | 20 | 1.6827 |
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| 1.4291 | 5.71 | 40 | 1.7434 |
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| 1.2662 | 8.57 | 60 | 1.8297 |
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| 1.1034 | 11.43 | 80 | 1.9381 |
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| 0.9573 | 14.29 | 100 | 2.0414 |
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| 0.8209 | 17.14 | 120 | 2.1761 |
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| 0.71 | 20.0 | 140 | 2.2933 |
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| 0.6181 | 22.86 | 160 | 2.3642 |
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| 0.572 | 25.71 | 180 | 2.4225 |
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| 0.544 | 28.57 | 200 | 2.4338 |
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### Framework versions
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- PEFT 0.10.0
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- Transformers 4.36.2
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- Pytorch 2.2.2+cu121
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- Datasets 2.19.0
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- Tokenizers 0.15.2
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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": null,
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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": 0.05,
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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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"v_proj",
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"q_proj"
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],
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"task_type": "SEQ_CLS",
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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 sha256:7c80647356e018a983633b6c2b2736a874ec9cf07c5a307daed3b53c457689b7
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size 33593392
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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:d3a463f5eecfe870c6e37478e915b5873793874156096921014c3ef62032a22d
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size 4664
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