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README.md

@@ -1,67 +1,21 @@
 ---
-base_model: meta-llama/Llama-2-13b-hf
-tags:
-- generated_from_trainer
-model-index:
-- name: Llama-2-13b-hf-eli5-wiki-1024_r_64_alpha_16
-  results: []
+library_name: peft
 ---
-
-<!-- This model card has been generated automatically according to the information the Trainer had access to. You
-should probably proofread and complete it, then remove this comment. -->
-
-# Llama-2-13b-hf-eli5-wiki-1024_r_64_alpha_16
-
-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 None dataset.
-It achieves the following results on the evaluation set:
-- Loss: 1.3368
-
-## Model description
-
-More information needed
-
-## Intended uses & limitations
-
-More information needed
-
-## Training and evaluation data
-
-More information needed
-
 ## Training procedure
 
-### Training hyperparameters
-
-The following hyperparameters were used during training:
-- learning_rate: 0.0002
-- train_batch_size: 16
-- eval_batch_size: 16
-- seed: 42
-- gradient_accumulation_steps: 8
-- total_train_batch_size: 128
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: linear
-- lr_scheduler_warmup_ratio: 0.03
-- num_epochs: 1
-
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss |
-|:-------------:|:-----:|:----:|:---------------:|
-| 1.2775        | 0.1   | 84   | 1.3616          |
-| 1.8416        | 0.2   | 168  | 1.3548          |
-| 1.5602        | 0.3   | 252  | 1.3506          |
-| 1.2573        | 0.4   | 336  | 1.3446          |
-| 1.4359        | 0.5   | 420  | 1.3433          |
-| 1.5447        | 0.61  | 504  | 1.3420          |
-| 1.2692        | 0.71  | 588  | 1.3386          |
-| 1.4435        | 0.81  | 672  | 1.3374          |
-| 1.5443        | 0.91  | 756  | 1.3368          |
-
 
+The following `bitsandbytes` quantization config was used during training:
+- quant_method: bitsandbytes
+- load_in_8bit: False
+- load_in_4bit: True
+- llm_int8_threshold: 6.0
+- llm_int8_skip_modules: None
+- llm_int8_enable_fp32_cpu_offload: False
+- llm_int8_has_fp16_weight: False
+- bnb_4bit_quant_type: nf4
+- bnb_4bit_use_double_quant: True
+- bnb_4bit_compute_dtype: bfloat16
 ### Framework versions
 
-- Transformers 4.32.1
-- Pytorch 2.0.1+cu118
-- Datasets 2.14.4
-- Tokenizers 0.13.3
+
+- PEFT 0.4.0

adapter_model.safetensors

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+oid sha256:8370a068d82e0870d693c0c8e3ccb95e999ae0ffb029551e3085d5d0c0c9969c
+size 1001465824