End of training

README.md

@@ -43,7 +43,7 @@ deepspeed: null
 device_map: auto
 do_eval: true
 num_epochs: 3
-# load_best_model_at_end: true
+load_best_model_at_end: true
 # early_stopping_patience: 1
 eval_batch_size: 4
 eval_max_new_tokens: 128
@@ -121,7 +121,7 @@ xformers_attention: null
 
 This model is a fine-tuned version of [unsloth/SmolLM-360M](https://huggingface.co/unsloth/SmolLM-360M) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1265
+- Loss: 0.1419
 
 ## Model description
 
@@ -155,8 +155,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss |
 |:-------------:|:------:|:----:|:---------------:|
-| 0.3036        | 1.0    | 367  | 0.2539          |
-| 0.1304        | 1.6349 | 600  | 0.1265          |
+| 0.3033        | 1.0    | 367  | 0.2556          |
+| 0.1337        | 1.6349 | 600  | 0.1419          |
 
 
 ### Framework versions

adapter_model.bin

@@ -1,3 +1,3 @@
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+oid sha256:f05c6221647ca4527fd96acb425b86b21a1664b72e6a82e3bb774adc0411b66d
 size 69629450