ahmedgongi/mistral_version_finale1

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: 1.0985
+- Loss: 1.0983
 
 ## Model description
 
@@ -37,7 +37,7 @@ More information needed
 The following hyperparameters were used during training:
 - learning_rate: 0.0002
 - train_batch_size: 4
-- eval_batch_size: 2
+- eval_batch_size: 4
 - seed: 42
 - gradient_accumulation_steps: 4
 - total_train_batch_size: 16
@@ -52,8 +52,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 1.1033        | 0.4   | 100  | 1.1451          |
-| 1.113         | 0.8   | 200  | 1.0985          |
+| 1.1071        | 0.4   | 100  | 1.1471          |
+| 1.1131        | 0.8   | 200  | 1.0983          |
 
 
 ### Framework versions

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:d8b5ca1fccf70c4efbccebbb876edd298ccaafe0733f0230d000f71ecc527619
 size 27297032