End of training

README.md

@@ -19,7 +19,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [unsloth/llama-3.2-1b-instruct-bnb-4bit](https://huggingface.co/unsloth/llama-3.2-1b-instruct-bnb-4bit) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.7877
+- Loss: 1.8152
 
 ## Model description
 
@@ -47,18 +47,14 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 50
-- num_epochs: 1
+- training_steps: 60
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch  | Step | Validation Loss |
 |:-------------:|:------:|:----:|:---------------:|
-| 1.7636        | 0.1992 | 50   | 1.8301          |
-| 1.6351        | 0.3984 | 100  | 1.8318          |
-| 1.6559        | 0.5976 | 150  | 1.8157          |
-| 1.6928        | 0.7968 | 200  | 1.7976          |
-| 1.7535        | 0.9960 | 250  | 1.7877          |
+| 1.6352        | 0.1992 | 50   | 1.8152          |
 
 
 ### Framework versions

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f8d4a2c646d0d841ae8390509a34961d754113932d1335c99f4caa5252912201
+oid sha256:7d58131d95e61ccf19d5e4cc31648cc48c03ca042f6e9a02b14dc7c76913d806
 size 45118424