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aryarishit/mistral-intruct-resumebot-v2
Browse files
README.md
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---
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base_model: TheBloke/Mistral-7B-Instruct-v0.2-GPTQ
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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-instruct-resumebot-v2
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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-instruct-resumebot-v2
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This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.2-GPTQ) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.8843
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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: 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: 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: 2
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- num_epochs: 10
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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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| 3.748 | 0.8 | 2 | 2.9454 |
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| 2.2982 | 2.0 | 5 | 2.5691 |
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| 3.0389 | 2.8 | 7 | 2.3823 |
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| 1.8758 | 4.0 | 10 | 2.1773 |
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| 2.5643 | 4.8 | 12 | 2.0769 |
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| 1.6191 | 6.0 | 15 | 1.9662 |
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| 2.2941 | 6.8 | 17 | 1.9178 |
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| 1.496 | 8.0 | 20 | 1.8843 |
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### Framework versions
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- PEFT 0.11.1
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- Transformers 4.41.2
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- Pytorch 2.1.0+cu121
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- Datasets 2.20.0
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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": "TheBloke/Mistral-7B-Instruct-v0.2-GPTQ",
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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": 8,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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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 sha256:5c0e5b9b33270d49c468f35b5c3ee0043f3b3dea0f35f1fd12e699de84247071
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size 8397056
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runs/Jul10_07-46-18_7dd688526406/events.out.tfevents.1720597586.7dd688526406.312.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:3b1e3b239936537acacc3cdf0d46fe9119860a09ad83dc6569f8e08a521b5eb3
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size 9643
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:62fa8329ce2a86b3036143f78d3f2753bbee27c83ba63f2e6f0bc2c99bf25d6e
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size 5112
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