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README.md

@@ -1,54 +1,3 @@
 ---
-license: other
-tags:
-- generated_from_trainer
-model-index:
-- name: empath-llama-7b
-  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. -->
-
-# empath-llama-7b
-
-This model is a fine-tuned version of [decapoda-research/llama-7b-hf](https://huggingface.co/decapoda-research/llama-7b-hf) on the None dataset.
-
-## 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: 0.001
-- train_batch_size: 4
-- eval_batch_size: 8
-- seed: 42
-- gradient_accumulation_steps: 4
-- total_train_batch_size: 16
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: linear
-- lr_scheduler_warmup_steps: 100
-- training_steps: 100
-
-### Training results
-
-
-
-### Framework versions
-
-- Transformers 4.30.0.dev0
-- Pytorch 2.0.1+cu117
-- Datasets 2.12.0
-- Tokenizers 0.13.3

adapter_config.json

@@ -4,11 +4,14 @@
   "fan_in_fan_out": false,
   "inference_mode": true,
   "init_lora_weights": true,
+  "layers_pattern": null,
+  "layers_to_transform": null,
   "lora_alpha": 16,
   "lora_dropout": 0.05,
   "modules_to_save": null,
   "peft_type": "LORA",
   "r": 8,
+  "revision": null,
   "target_modules": [
     "q_proj",
     "k_proj",

adapter_model.bin

@@ -1,3 +1,3 @@
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