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README.md

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 ---
-base_model: meta-llama/Llama-2-7b-hf
-tags:
-- generated_from_trainer
-model-index:
-- name: Llama-2-7b-hf-eli5-cleaned-wiki65k-1024_qlora
-  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-2-7b-hf-eli5-cleaned-wiki65k-1024_qlora
-
-This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on the None dataset.
-It achieves the following results on the evaluation set:
-- Loss: 1.4003
-
-## 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: 32
-- eval_batch_size: 32
-- seed: 42
-- gradient_accumulation_steps: 4
-- 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: 3
-
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss |
-|:-------------:|:-----:|:----:|:---------------:|
-| 1.2903        | 0.3   | 244  | 1.4168          |
-| 1.3252        | 0.6   | 488  | 1.4060          |
-| 1.3215        | 0.9   | 732  | 1.4003          |
-| 1.9272        | 1.2   | 976  | 1.4028          |
-| 1.9263        | 1.5   | 1220 | 1.4029          |
-| 1.4395        | 1.8   | 1464 | 1.4109          |
-| 1.2286        | 2.11  | 1708 | 1.4108          |
-| 1.2331        | 2.41  | 1952 | 1.4082          |
-| 1.4944        | 2.71  | 2196 | 1.4107          |
-
 
+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 4.34.0.dev0
-- Pytorch 2.0.1+cu118
-- Datasets 2.14.5
-- Tokenizers 0.13.3
+
+- PEFT 0.6.0.dev0

adapter_model.safetensors

@@ -0,0 +1,3 @@
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+oid sha256:029df8a4f391c04d342c8ea5cfb1f11f1369df4875ca6a2f51003a47e8d914f2
+size 639691872