End of training
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README.md
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This model is a fine-tuned version of [NousResearch/Llama-2-7b-hf](https://huggingface.co/NousResearch/Llama-2-7b-hf) on the None dataset.
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It achieves the following results on the evaluation set:
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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: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 1.3521 | 1.0 | 446 | 1.2259 |
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| 1.4185 | 2.0 | 892 | 1.2080 |
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| 1.1195 | 3.0 | 1338 | 1.2291 |
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| 0.9606 | 4.0 | 1784 | 1.2634 |
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| 0.7691 | 5.0 | 2230 | 1.3193 |
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| 0.8449 | 6.0 | 2676 | 1.3843 |
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| 0.6701 | 7.0 | 3122 | 1.4593 |
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| 0.5451 | 8.0 | 3568 | 1.5175 |
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| 0.5712 | 9.0 | 4014 | 1.5782 |
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| 0.6186 | 10.0 | 4460 | 1.6080 |
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### Framework versions
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This model is a fine-tuned version of [NousResearch/Llama-2-7b-hf](https://huggingface.co/NousResearch/Llama-2-7b-hf) on the None dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: nan
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- eval_runtime: 1296.5217
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- eval_samples_per_second: 8.944
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- eval_steps_per_second: 8.944
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- epoch: 1.0
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- step: 11582
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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: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 5
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### Framework versions
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adapter_config.json
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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":
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"lora_dropout": 0.
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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":
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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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": 128,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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