Dev-SriramB/DPB_buster

README.md

@@ -1,9 +1,9 @@
 ---
-license: apache-2.0
+base_model: TheBloke/Mistral-7B-Instruct-v0.2-GPTQ
 library_name: peft
+license: apache-2.0
 tags:
 - generated_from_trainer
-base_model: TheBloke/Mistral-7B-Instruct-v0.2-GPTQ
 model-index:
 - name: balagpt-ft2
   results: []
@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.2-GPTQ) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6050
+- Loss: 0.7072
 
 ## Model description
 
@@ -44,29 +44,21 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 2
-- num_epochs: 10
+- num_epochs: 2
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 2.3314        | 1.0   | 5    | 1.9312          |
-| 1.7381        | 2.0   | 10   | 1.4899          |
-| 1.3108        | 3.0   | 15   | 1.1581          |
-| 0.9634        | 4.0   | 20   | 0.9015          |
-| 0.718         | 5.0   | 25   | 0.7503          |
-| 0.5738        | 6.0   | 30   | 0.6664          |
-| 0.4784        | 7.0   | 35   | 0.6163          |
-| 0.4266        | 8.0   | 40   | 0.6102          |
-| 0.4016        | 9.0   | 45   | 0.6052          |
-| 0.3864        | 10.0  | 50   | 0.6050          |
+| 0.5677        | 1.0   | 175  | 0.6737          |
+| 0.2266        | 2.0   | 350  | 0.7072          |
 
 
 ### Framework versions
 
-- PEFT 0.10.0
-- Transformers 4.39.3
-- Pytorch 2.1.0+cu121
-- Datasets 2.19.0
-- Tokenizers 0.15.2
+- PEFT 0.13.0
+- Transformers 4.44.2
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.1
+- Tokenizers 0.19.1

adapter_model.safetensors

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 size 8397056

training_args.bin

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