End of training

README.md

@@ -15,7 +15,7 @@ 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: 3.6420
+- Loss: 3.6666
 
 ## Model description
 
@@ -35,8 +35,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 8
-- eval_batch_size: 8
+- train_batch_size: 32
+- eval_batch_size: 32
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -46,14 +46,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 3.7501        | 1.0   | 2334 | 3.6669          |
-| 3.6498        | 2.0   | 4668 | 3.6464          |
-| 3.6023        | 3.0   | 7002 | 3.6420          |
+| 3.9133        | 1.0   | 584  | 3.6984          |
+| 3.7477        | 2.0   | 1168 | 3.6721          |
+| 3.7063        | 3.0   | 1752 | 3.6666          |
 
 
 ### Framework versions
 
 - Transformers 4.40.2
-- Pytorch 2.3.0+cu121
-- Datasets 2.20.0
+- Pytorch 2.4.0+cu121
+- Datasets 2.19.2
 - Tokenizers 0.19.1

model.safetensors

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runs/Aug12_06-17-58_default/events.out.tfevents.1723443486.default.1690.0

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