Model save

README.md

@@ -0,0 +1,62 @@
+---
+license: llama2
+base_model: codellama/CodeLlama-7b-Instruct-hf
+tags:
+- generated_from_trainer
+model-index:
+- name: finetuningqvk1
+  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. -->
+
+# finetuningqvk1
+
+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: 1.3415
+
+## 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: 20
+- eval_batch_size: 20
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 6
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 2.688         | 1.0   | 1    | 2.7638          |
+| 2.275         | 2.0   | 2    | 2.2309          |
+| 1.8141        | 3.0   | 3    | 1.9247          |
+| 1.4948        | 4.0   | 4    | 1.6327          |
+| 1.2029        | 5.0   | 5    | 1.4417          |
+| 0.9743        | 6.0   | 6    | 1.3415          |
+
+
+### Framework versions
+
+- Transformers 4.33.0
+- Pytorch 2.0.1
+- Datasets 2.16.1
+- Tokenizers 0.13.3

adapter_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e5a1c9a91cde638255516775224d97fa64d557e7e021e46a01dc3d45a3256f02
+oid sha256:bcfe691107e3e4c7a21e908f567b4eadbbb3cb9ceb41f9e692d8517190b0f0a0
 size 50400909