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README.md

@@ -1,67 +1,21 @@
 ---
-base_model: meta-llama/Llama-2-7b-hf
-tags:
-- generated_from_trainer
-model-index:
-- name: Llama-2-7b-hf-eli5-cleaned-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-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: 2.1853
-
-## 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 |
-|:-------------:|:-----:|:----:|:---------------:|
-| 2.1545        | 0.3   | 91   | 2.1962          |
-| 2.1436        | 0.6   | 182  | 2.1883          |
-| 2.1159        | 0.9   | 273  | 2.1853          |
-| 2.0772        | 1.21  | 364  | 2.1907          |
-| 2.076         | 1.51  | 455  | 2.1981          |
-| 2.0961        | 1.81  | 546  | 2.1883          |
-| 2.0357        | 2.11  | 637  | 2.1906          |
-| 2.0721        | 2.41  | 728  | 2.1973          |
-| 1.9755        | 2.71  | 819  | 2.2063          |
-
 
+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 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:01a5321c743a9d036eab925d0577486b39d910eb07c830b4b74be79914b4be12
+size 639691872