rajeshsao/Mistral_Automotive_FineTune_With_EngineParameters
Browse files- README.md +71 -0
- adapter_config.json +35 -0
- adapter_model.safetensors +3 -0
- training_args.bin +3 -0
README.md
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---
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base_model: mistralai/Mistral-7B-v0.1
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library_name: peft
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license: apache-2.0
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tags:
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- generated_from_trainer
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model-index:
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- name: mistral-Automotive_Engine_parameter_FineTune
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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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# mistral-Automotive_Engine_parameter_FineTune
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This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.3795
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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: 2.5e-05
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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: 4
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- total_train_batch_size: 8
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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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- lr_scheduler_warmup_steps: 5
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- training_steps: 100
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| No log | 0.0051 | 10 | 2.6289 |
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| No log | 0.0102 | 20 | 1.9624 |
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| No log | 0.0154 | 30 | 1.7700 |
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| No log | 0.0205 | 40 | 1.5865 |
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| 2.1702 | 0.0256 | 50 | 1.4648 |
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| 2.1702 | 0.0307 | 60 | 1.4255 |
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| 2.1702 | 0.0358 | 70 | 1.4026 |
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| 2.1702 | 0.0410 | 80 | 1.3900 |
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| 2.1702 | 0.0461 | 90 | 1.3794 |
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| 1.409 | 0.0512 | 100 | 1.3795 |
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### Framework versions
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- PEFT 0.12.0
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- Transformers 4.44.2
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- Pytorch 2.4.1+cu121
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- Datasets 3.0.0
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- Tokenizers 0.19.1
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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": 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": 16,
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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": 8,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"up_proj",
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"v_proj",
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"k_proj",
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"gate_proj",
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"q_proj",
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"lm_head",
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"o_proj",
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"down_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:dec41455205e80860843da9850ecc25e61800eea4c39a3ce16c9aba3c2083346
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size 609397376
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:4b6db52c5e2610033ee8b97f92314050d22c11c24ff10dd347d498c053cf657e
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size 5240
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