dmcooller/neural-matia-ft-2
Browse files
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 an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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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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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 3.
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| 0.6142 | 9.93 | 67 | 0.6344 |
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| 0.5787 | 10.67 | 72 | 0.6334 |
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### Framework versions
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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 an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6516
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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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| 3.9004 | 0.89 | 6 | 3.0020 |
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| 2.3511 | 1.93 | 13 | 1.9686 |
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| 1.4935 | 2.96 | 20 | 1.1307 |
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| 0.9547 | 4.0 | 27 | 0.8176 |
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| 0.8782 | 4.89 | 33 | 0.7137 |
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| 0.6879 | 5.93 | 40 | 0.6794 |
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| 0.6661 | 6.96 | 47 | 0.6609 |
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| 0.6421 | 8.0 | 54 | 0.6534 |
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| 0.6662 | 8.89 | 60 | 0.6516 |
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### Framework versions
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adapter_config.json
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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":
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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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": 30,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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adapter_model.safetensors
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runs/Apr03_12-41-31_930e74ea1013/events.out.tfevents.1712148164.930e74ea1013.34.0
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training_args.bin
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