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: 1.8152
+- Loss: 1.7777
 
 ## Model description
 
@@ -47,14 +47,15 @@ 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
-- training_steps: 60
+- num_epochs: 1
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch  | Step | Validation Loss |
 |:-------------:|:------:|:----:|:---------------:|
-| 1.6352        | 0.1992 | 50   | 1.8152          |
+| 1.4933        | 0.3984 | 100  | 1.8305          |
+| 1.6205        | 0.7968 | 200  | 1.7777          |
 
 
 ### Framework versions

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:05c9226e879ddb0360294ddc8178ee4a4bef062ea62ff96989363bda149a9c50
 size 45118424