End of training

README.md

@@ -0,0 +1,60 @@
+---
+license: bigcode-openrail-m
+library_name: peft
+tags:
+- trl
+- sft
+- generated_from_trainer
+base_model: bigcode/starcoder2-3b
+model-index:
+- name: starcoder2-3b_fineTunedLoRA
+  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. -->
+
+# starcoder2-3b_fineTunedLoRA
+
+This model is a fine-tuned version of [bigcode/starcoder2-3b](https://huggingface.co/bigcode/starcoder2-3b) on an unknown 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: 0.0002
+- train_batch_size: 16
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.03
+- training_steps: 180
+- mixed_precision_training: Native AMP
+
+### Training results
+
+
+
+### Framework versions
+
+- PEFT 0.10.1.dev0
+- Transformers 4.40.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

adapter_config.json

@@ -20,12 +20,8 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "v_proj",
-    "o_proj",
-    "c_proj",
-    "c_fc",
-    "k_proj",
-    "q_proj"
+    "base_layer",
+    "default"
   ],
   "task_type": "CAUSAL_LM",
   "use_dora": false,

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:87b60d505c2260ebaa1aa5384865d6b69680889bedbaff9340a220100e5e423c
-size 95402480
+oid sha256:8a7f15d92525a74859371d381ff2bb7c4a675b72a1f9b1e8bd1422e1c8bf02af
+size 95795984