End of training

README.md

@@ -18,9 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 3.3225
-- Accuracy: 0.2359
-- Precision: 0.0
+- Loss: 4.4066
+- Accuracy: 0.2095
+- Precision: 1.0
 
 ## Model description
 
@@ -45,15 +45,16 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
 - num_epochs: 3.0
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|
-| No log        | 1.0   | 125  | 3.5091          | 0.2414   | 0.0       |
-| No log        | 2.0   | 250  | 3.3538          | 0.2380   | 0.0       |
-| No log        | 3.0   | 375  | 3.3225          | 0.2359   | 0.0       |
+| No log        | 1.0   | 125  | 4.4302          | 0.2148   | 1.0       |
+| No log        | 2.0   | 250  | 4.3810          | 0.2153   | 1.0       |
+| No log        | 3.0   | 375  | 4.4066          | 0.2095   | 1.0       |
 
 
 ### Framework versions

model.safetensors

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training_args.bin

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 size 4984