baotnguyen/ncis

README.md

@@ -2,8 +2,6 @@
 base_model: mistralai/Mistral-7B-v0.1
 library_name: peft
 license: apache-2.0
-metrics:
-- accuracy
 tags:
 - generated_from_trainer
 model-index:
@@ -16,10 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # ncis
 
-This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the None dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.1850
-- Accuracy: 0.9192
+This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on an unknown dataset.
 
 ## Model description
 
@@ -38,23 +33,13 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.0001
-- train_batch_size: 16
+- learning_rate: 5e-05
+- train_batch_size: 8
 - eval_batch_size: 16
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 8
-
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.4941        | 1.0   | 37   | 0.1850          | 0.9192   |
-| 1.0952        | 2.0   | 74   | 0.4716          | 0.8737   |
-| 0.221         | 3.0   | 111  | 0.3881          | 0.8636   |
-| 0.3177        | 4.0   | 148  | 0.1900          | 0.9596   |
-
+- num_epochs: 3.0
 
 ### Framework versions
 

training_args.bin

@@ -1,3 +1,3 @@
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 size 5176