Model save

README.md

@@ -16,10 +16,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.3](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: -411510899264896576.0000
-- Ndcg: 0.9569
-- Ndcg@25: 0.7163
-- Precision@25: 0.6126
+- Loss: -398032279857701120.0000
+- Ndcg: 0.9570
+- Ndcg@25: 0.6865
+- Precision@25: 0.5943
 
 ## Model description
 
@@ -46,16 +46,15 @@ The following hyperparameters were used during training:
 - total_train_batch_size: 4
 - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
-- num_epochs: 3
+- num_epochs: 2
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss             | Epoch  | Step | Validation Loss          | Ndcg   | Ndcg@25 | Precision@25 |
 |:-------------------------:|:------:|:----:|:------------------------:|:------:|:-------:|:------------:|
-| -6865760941572830208.0000 | 1.0    | 44   | -240602318374661568.0000 | 0.9563 | 0.4422  | 0.2214       |
-| -170364640055577792.0000  | 2.0    | 88   | -380035817867927296.0000 | 0.9569 | 0.7741  | 0.4871       |
-| -458167182489026560.0000  | 2.9480 | 129  | -411510899264896576.0000 | 0.9569 | 0.7163  | 0.6126       |
+| -6942806799963652096.0000 | 1.0    | 44   | -380035817867927296.0000 | 0.9569 | 0.7741  | 0.4871       |
+| -194661386872160256.0000  | 1.9711 | 86   | -398032279857701120.0000 | 0.9570 | 0.6865  | 0.5943       |
 
 
 ### Framework versions

training_args.bin

@@ -1,3 +1,3 @@
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+oid sha256:7fb3360639518e9a55108617cf345932de4c931395fe7e3d9217af81f42a449a
 size 5905