rejozacharia
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rejozacharia/lora-course-info
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README.md
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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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- eval_runtime: 2.4361
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- eval_samples_per_second: 1.642
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- eval_steps_per_second: 0.41
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- epoch: 13.0
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- step: 13
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## Model description
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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:
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- mixed_precision_training: Native AMP
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### Framework versions
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- PEFT 0.11.1
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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: 1.7839
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## Model description
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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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| 2.1649 | 1.0 | 1 | 4.3052 |
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| 2.1595 | 2.0 | 2 | 3.9177 |
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| 1.9661 | 3.0 | 3 | 3.1663 |
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| 1.5727 | 4.0 | 4 | 2.6769 |
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| 1.3371 | 5.0 | 5 | 2.4213 |
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| 1.2116 | 6.0 | 6 | 2.2232 |
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| 1.1114 | 7.0 | 7 | 2.0560 |
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| 1.0296 | 8.0 | 8 | 1.9239 |
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| 0.9679 | 9.0 | 9 | 1.8329 |
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| 0.9227 | 10.0 | 10 | 1.7839 |
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### Framework versions
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- PEFT 0.11.1
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adapter_config.json
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"
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"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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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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"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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adapter_model.safetensors
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runs/Jul08_05-29-34_07b817503238/events.out.tfevents.1720416575.07b817503238.287.0
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training_args.bin
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