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  1. 119_Llama-2-13b-hf/README.md +55 -0
  2. 119_Llama-2-13b-hf/adapter_config.json +21 -0
  3. 119_Llama-2-13b-hf/adapter_model.safetensors +3 -0
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  9. 119_Llama-2-13b-hf/checkpoint-1000/scheduler.pt +3 -0
  10. 119_Llama-2-13b-hf/checkpoint-1000/trainer_state.json +621 -0
  11. 119_Llama-2-13b-hf/checkpoint-1000/training_args.bin +3 -0
  12. 119_Llama-2-13b-hf/checkpoint-1500/README.md +9 -0
  13. 119_Llama-2-13b-hf/checkpoint-1500/adapter_config.json +21 -0
  14. 119_Llama-2-13b-hf/checkpoint-1500/adapter_model.safetensors +3 -0
  15. 119_Llama-2-13b-hf/checkpoint-1500/optimizer.pt +3 -0
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  17. 119_Llama-2-13b-hf/checkpoint-1500/scheduler.pt +3 -0
  18. 119_Llama-2-13b-hf/checkpoint-1500/trainer_state.json +921 -0
  19. 119_Llama-2-13b-hf/checkpoint-1500/training_args.bin +3 -0
  20. 119_Llama-2-13b-hf/checkpoint-2000/README.md +9 -0
  21. 119_Llama-2-13b-hf/checkpoint-2000/adapter_config.json +21 -0
  22. 119_Llama-2-13b-hf/checkpoint-2000/adapter_model.safetensors +3 -0
  23. 119_Llama-2-13b-hf/checkpoint-2000/optimizer.pt +3 -0
  24. 119_Llama-2-13b-hf/checkpoint-2000/rng_state.pth +3 -0
  25. 119_Llama-2-13b-hf/checkpoint-2000/scheduler.pt +3 -0
  26. 119_Llama-2-13b-hf/checkpoint-2000/trainer_state.json +1221 -0
  27. 119_Llama-2-13b-hf/checkpoint-2000/training_args.bin +3 -0
  28. 119_Llama-2-13b-hf/checkpoint-2500/README.md +9 -0
  29. 119_Llama-2-13b-hf/checkpoint-2500/adapter_config.json +21 -0
  30. 119_Llama-2-13b-hf/checkpoint-2500/adapter_model.safetensors +3 -0
  31. 119_Llama-2-13b-hf/checkpoint-2500/optimizer.pt +3 -0
  32. 119_Llama-2-13b-hf/checkpoint-2500/rng_state.pth +3 -0
  33. 119_Llama-2-13b-hf/checkpoint-2500/scheduler.pt +3 -0
  34. 119_Llama-2-13b-hf/checkpoint-2500/trainer_state.json +1521 -0
  35. 119_Llama-2-13b-hf/checkpoint-2500/training_args.bin +3 -0
  36. 119_Llama-2-13b-hf/checkpoint-3000/README.md +9 -0
  37. 119_Llama-2-13b-hf/checkpoint-3000/adapter_config.json +21 -0
  38. 119_Llama-2-13b-hf/checkpoint-3000/adapter_model.safetensors +3 -0
  39. 119_Llama-2-13b-hf/checkpoint-3000/optimizer.pt +3 -0
  40. 119_Llama-2-13b-hf/checkpoint-3000/rng_state.pth +3 -0
  41. 119_Llama-2-13b-hf/checkpoint-3000/scheduler.pt +3 -0
  42. 119_Llama-2-13b-hf/checkpoint-3000/trainer_state.json +1821 -0
  43. 119_Llama-2-13b-hf/checkpoint-3000/training_args.bin +3 -0
  44. 119_Llama-2-13b-hf/checkpoint-3500/README.md +9 -0
  45. 119_Llama-2-13b-hf/checkpoint-3500/adapter_config.json +21 -0
  46. 119_Llama-2-13b-hf/checkpoint-3500/adapter_model.safetensors +3 -0
  47. 119_Llama-2-13b-hf/checkpoint-3500/optimizer.pt +3 -0
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+ ---
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+ base_model: meta-llama/Llama-2-13b-hf
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - cnn_dailymail
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+ model-index:
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+ - name: 119_Llama-2-13b-hf
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+ results: []
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+ library_name: peft
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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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+ # 119_Llama-2-13b-hf
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+
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+ This model is a fine-tuned version of [meta-llama/Llama-2-13b-hf](https://huggingface.co/meta-llama/Llama-2-13b-hf) on the cnn_dailymail dataset.
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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: 5e-05
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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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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 3
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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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+ - PEFT 0.4.0
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+ - Transformers 4.36.2
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+ - Pytorch 2.0.1+cu117
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+ - Datasets 2.15.0
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+ - Tokenizers 0.15.0
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+ }
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+ ---
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+ library_name: peft
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+ ---
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+ ## Training procedure
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+
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+ ### Framework versions
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+
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+
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+ - PEFT 0.4.0
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