ahmedgongi10/mistral_instruct_devops_expert1

README.md

@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.7356
+- Loss: 2.1539
 
 ## Model description
 
@@ -44,22 +44,29 @@ 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: 3
+- num_epochs: 10
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 1.7127        | 1.0   | 360  | 1.6831          |
-| 1.5565        | 2.0   | 720  | 1.6868          |
-| 1.3898        | 3.0   | 1080 | 1.7356          |
+| 1.621         | 1.0   | 102  | 1.4441          |
+| 1.3795        | 2.0   | 204  | 1.3877          |
+| 1.1377        | 3.0   | 306  | 1.3730          |
+| 0.877         | 4.0   | 408  | 1.3983          |
+| 0.6379        | 5.0   | 510  | 1.4731          |
+| 0.4464        | 6.0   | 612  | 1.5966          |
+| 0.3066        | 7.0   | 714  | 1.7195          |
+| 0.2135        | 8.0   | 816  | 1.8925          |
+| 0.1534        | 9.0   | 918  | 2.0300          |
+| 0.1169        | 10.0  | 1020 | 2.1539          |
 
 
 ### Framework versions
 
-- PEFT 0.9.1.dev0
-- Transformers 4.39.0.dev0
+- PEFT 0.9.0
+- Transformers 4.38.2
 - Pytorch 2.1.2
 - Datasets 2.1.0
 - Tokenizers 0.15.2