End of training

README.md

@@ -2,9 +2,9 @@
 license: apache-2.0
 library_name: peft
 tags:
-- unsloth
 - trl
 - sft
+- unsloth
 - generated_from_trainer
 base_model: unsloth/mistral-7b-instruct-v0.2-bnb-4bit
 model-index:
@@ -17,7 +17,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # mistral-inst_10000_200
 
-This model is a fine-tuned version of [unsloth/mistral-7b-instruct-v0.2-bnb-4bit](https://huggingface.co/unsloth/mistral-7b-instruct-v0.2-bnb-4bit) on an unknown dataset.
+This model is a fine-tuned version of [unsloth/mistral-7b-instruct-v0.2-bnb-4bit](https://huggingface.co/unsloth/mistral-7b-instruct-v0.2-bnb-4bit) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.3962
 
 ## Model description
 
@@ -48,6 +50,28 @@ The following hyperparameters were used during training:
 - num_epochs: 5
 - mixed_precision_training: Native AMP
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.4844        | 0.31  | 48   | 1.1183          |
+| 1.1246        | 0.61  | 96   | 1.0908          |
+| 1.1002        | 0.92  | 144  | 1.0744          |
+| 0.9854        | 1.23  | 192  | 1.0764          |
+| 0.9533        | 1.54  | 240  | 1.0738          |
+| 0.9392        | 1.84  | 288  | 1.0642          |
+| 0.8426        | 2.15  | 336  | 1.1302          |
+| 0.741         | 2.46  | 384  | 1.1290          |
+| 0.7343        | 2.76  | 432  | 1.1219          |
+| 0.7004        | 3.07  | 480  | 1.2799          |
+| 0.5405        | 3.38  | 528  | 1.2481          |
+| 0.538         | 3.69  | 576  | 1.2538          |
+| 0.5379        | 3.99  | 624  | 1.2606          |
+| 0.4171        | 4.3   | 672  | 1.3919          |
+| 0.4156        | 4.61  | 720  | 1.3977          |
+| 0.4168        | 4.92  | 768  | 1.3962          |
+
+
 ### Framework versions
 
 - PEFT 0.10.0