Model save

README.md

@@ -0,0 +1,72 @@
+---
+license: llama2
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: codellama/CodeLlama-7b-Instruct-hf
+model-index:
+- name: finetuningnewmodule1
+  results: []
+---
+
+<!-- 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. -->
+
+# finetuningnewmodule1
+
+This model is a fine-tuned version of [codellama/CodeLlama-7b-Instruct-hf](https://huggingface.co/codellama/CodeLlama-7b-Instruct-hf) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9468
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 8
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 2.688         | 1.0   | 1    | 2.7045          |
+| 2.2248        | 2.0   | 2    | 2.0812          |
+| 1.6447        | 3.0   | 3    | 1.7351          |
+| 1.2926        | 4.0   | 4    | 1.2896          |
+| 0.8111        | 5.0   | 5    | 1.0243          |
+| 0.4457        | 6.0   | 6    | 0.9231          |
+| 0.2562        | 7.0   | 7    | 0.9348          |
+| 0.1901        | 8.0   | 8    | 0.9468          |
+
+
+### Framework versions
+
+- Transformers 4.36.0
+- Pytorch 2.0.1
+- Datasets 2.16.1
+- Tokenizers 0.15.1
+## Training procedure
+
+
+### Framework versions
+
+
+- PEFT 0.6.0

adapter_config.json

@@ -16,11 +16,10 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "k_proj",
+    "v_proj",
     "o_proj",
-    "gate_proj",
     "q_proj",
-    "v_proj"
+    "k_proj"
   ],
   "task_type": "CAUSAL_LM"
 }

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:196ee2e02c2da7318de92bce8bc199cd8c22963d077d1e50ccdffe6a80912eb5
-size 49063448
+oid sha256:3baa7f03890aa0b9e46911557c9963c8d31ac67a626ccc921ed04eb87ad86579
+size 33588528

runs/Feb01_00-08-08_notebook-rt231gpu1aeb26e4e66634fdf88cdc063fc8a1afd-7b5fd5c8h97n/events.out.tfevents.1706746093.notebook-rt231gpu1aeb26e4e66634fdf88cdc063fc8a1afd-7b5fd5c8h97n.126.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:70abe1a0b012397f5ba3ea46bc92c8e642517e48a1c81874d92a7ce5013bb8f9
+size 8188

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8830f57d6458e4cc642fd89819a9c7a26ca24b3204d6ae7930156862da968e36
+oid sha256:b9f64a929ff6e47612838901c47f840937e8393ffe823da5a0319435fd991905
 size 4283