training completed

README.md

@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2454
-- Accuracy: 0.9667
+- Loss: nan
+- Accuracy: 0.4917
 
 ## Model description
 
@@ -50,17 +50,17 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.0094        | 1.0   | 60   | 1.1250          | 0.875    |
-| 0.3028        | 2.0   | 120  | 0.4615          | 0.95     |
-| 0.459         | 3.0   | 180  | 0.1061          | 0.975    |
-| 0.1836        | 4.0   | 240  | 0.4896          | 0.9667   |
-| 0.0453        | 5.0   | 300  | 0.2454          | 0.9667   |
+| 1.7992        | 1.0   | 60   | nan             | 0.4917   |
+| 0.8618        | 2.0   | 120  | nan             | 0.4833   |
+| 0.8384        | 3.0   | 180  | nan             | 0.4833   |
+| 0.7356        | 4.0   | 240  | nan             | 0.4917   |
+| 0.6956        | 5.0   | 300  | nan             | 0.4917   |
 
 
 ### Framework versions
 
-- PEFT 0.11.1
-- Transformers 4.41.2
-- Pytorch 2.3.0+cu121
-- Datasets 2.20.0
+- PEFT 0.13.2
+- Transformers 4.44.2
+- Pytorch 2.5.0+cu121
+- Datasets 3.1.0
 - Tokenizers 0.19.1

adapter_model.safetensors

@@ -1,3 +1,3 @@
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