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  1. README.md +57 -0
  2. adapter_config.json +23 -0
  3. adapter_model.safetensors +3 -0
  4. added_tokens.json +3 -0
  5. runs/Nov14_22-12-01_lwgpu-large/events.out.tfevents.1700001013.lwgpu-large.1832.0 +3 -0
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  7. runs/Nov15_03-31-04_lwgpu-large/events.out.tfevents.1700019069.lwgpu-large.4056.1 +3 -0
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  11. runs/Nov15_05-46-07_lwgpu-large/events.out.tfevents.1700027169.lwgpu-large.4056.5 +3 -0
  12. runs/Nov15_05-46-34_lwgpu-large/events.out.tfevents.1700027195.lwgpu-large.4056.6 +3 -0
  13. runs/Nov15_05-48-24_lwgpu-large/events.out.tfevents.1700027305.lwgpu-large.4056.7 +3 -0
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  28. runs/Nov15_07-29-49_lwgpu-large/events.out.tfevents.1700033389.lwgpu-large.30450.0 +3 -0
  29. runs/Nov16_02-44-18_lwgpu-large/events.out.tfevents.1700102658.lwgpu-large.34778.0 +3 -0
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  31. runs/Nov16_02-46-57_lwgpu-large/events.out.tfevents.1700102818.lwgpu-large.35614.0 +3 -0
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  33. runs/Nov16_02-49-25_lwgpu-large/events.out.tfevents.1700102966.lwgpu-large.36277.0 +3 -0
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  37. runs/Nov16_03-21-23_lwgpu-large/events.out.tfevents.1700104961.lwgpu-large.39769.1 +3 -0
  38. runs/Nov16_03-29-55_lwgpu-large/events.out.tfevents.1700105396.lwgpu-large.40839.0 +3 -0
  39. runs/Nov16_03-33-51_lwgpu-large/events.out.tfevents.1700105636.lwgpu-large.40839.1 +3 -0
  40. runs/Nov16_03-34-28_lwgpu-large/events.out.tfevents.1700105669.lwgpu-large.41556.0 +3 -0
  41. runs/Nov16_03-34-28_lwgpu-large/events.out.tfevents.1700105805.lwgpu-large.41556.1 +3 -0
  42. runs/Nov16_03-37-10_lwgpu-large/events.out.tfevents.1700105831.lwgpu-large.42123.0 +3 -0
  43. runs/Nov20_22-19-03_lwgpu-large/events.out.tfevents.1700518877.lwgpu-large.33302.0 +3 -0
  44. runs/Nov20_22-21-48_lwgpu-large/events.out.tfevents.1700518908.lwgpu-large.34084.0 +3 -0
  45. runs/Nov20_22-22-18_lwgpu-large/events.out.tfevents.1700518940.lwgpu-large.34084.1 +3 -0
  46. runs/Nov20_22-22-42_lwgpu-large/events.out.tfevents.1700518962.lwgpu-large.34489.0 +3 -0
  47. runs/Nov20_22-22-42_lwgpu-large/events.out.tfevents.1700519054.lwgpu-large.34489.1 +3 -0
  48. runs/Nov20_22-22-42_lwgpu-large/events.out.tfevents.1700519110.lwgpu-large.34489.2 +3 -0
  49. runs/Nov20_22-25-32_lwgpu-large/events.out.tfevents.1700519133.lwgpu-large.35130.0 +3 -0
  50. runs/Nov20_22-28-04_lwgpu-large/events.out.tfevents.1700519285.lwgpu-large.35695.0 +3 -0
README.md ADDED
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+ ---
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+ base_model: NousResearch/Llama-2-7b-chat-hf
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: results
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+ results: []
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+ ---
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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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+
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+ # results
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+
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+ This model is a fine-tuned version of [NousResearch/Llama-2-7b-chat-hf](https://huggingface.co/NousResearch/Llama-2-7b-chat-hf) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.1896
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 0.0003
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+ - train_batch_size: 16
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - gradient_accumulation_steps: 8
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+ - total_train_batch_size: 128
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: constant
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+ - lr_scheduler_warmup_ratio: 0.02
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+ - num_epochs: 15
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.36.0.dev0
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+ - Pytorch 2.1.0+cu121
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+ - Datasets 2.14.6
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+ - Tokenizers 0.14.1
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+ "lora_alpha": 16,
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+ "lora_dropout": 0.05,
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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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+ "v_proj"
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+ ],
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+ "task_type": "CAUSAL_LM"
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+ }
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