End of training

README.md

@@ -18,9 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 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.
 It achieves the following results on the evaluation set:
-- Loss: 0.6368
-- Accuracy: {'accuracy': 0.6927570093457944}
-- Matthews Correlation: 0.0422
+- Loss: 0.6546
+- Accuracy: {'accuracy': 0.6728971962616822}
+- Matthews Correlation: -0.0184
 
 ## Model description
 
@@ -49,10 +49,14 @@ The following hyperparameters were used during training:
 - total_eval_batch_size: 192
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- training_steps: 1
+- training_steps: 20
 
 ### Training results
 
+| Training Loss | Epoch | Step | Validation Loss | Accuracy                          | Matthews Correlation |
+|:-------------:|:-----:|:----:|:---------------:|:---------------------------------:|:--------------------:|
+| 0.8988        | 0.12  | 10   | 0.7592          | {'accuracy': 0.47171620325982744} | -0.0379              |
+| 0.6785        | 0.25  | 20   | 0.6739          | {'accuracy': 0.6653883029721956}  | -0.0162              |
 
 
 ### Framework versions

adapter_config.json

@@ -19,8 +19,8 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "q_proj",
-    "v_proj"
+    "v_proj",
+    "q_proj"
   ],
   "task_type": "SEQ_CLS"
 }

adapter_model.safetensors

@@ -1,3 +1,3 @@
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training_args.bin

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