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README.md

@@ -1,55 +1,20 @@
 ---
-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
-
-
 
+The following `bitsandbytes` quantization config was used during training:
+- 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 4.31.0.dev0
-- Pytorch 2.0.1+cu117
-- Datasets 2.12.0
-- Tokenizers 0.13.3
+
+- PEFT 0.4.0.dev0

adapter_config.json

@@ -1,22 +1,19 @@
 {
-  "base_model_name_or_path": "decapoda-research/llama-7b-hf",
+  "base_model_name_or_path": "vilsonrodrigues/falcon-7b-instruct-sharded",
   "bias": "none",
   "fan_in_fan_out": false,
   "inference_mode": true,
   "init_lora_weights": true,
   "layers_pattern": null,
   "layers_to_transform": null,
-  "lora_alpha": 16,
+  "lora_alpha": 32,
   "lora_dropout": 0.05,
   "modules_to_save": null,
   "peft_type": "LORA",
-  "r": 8,
+  "r": 16,
   "revision": null,
   "target_modules": [
-    "q_proj",
-    "k_proj",
-    "v_proj",
-    "o_proj"
+    "query_key_value"
   ],
   "task_type": "CAUSAL_LM"
 }

adapter_model.bin

@@ -1,3 +1,3 @@
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-size 33646413
+oid sha256:ff1c2500432643388136b9cfde1633b0acf5045c9891ad3dfa5c1603b3d0edd7
+size 18898161