End of training

README.md

@@ -2,22 +2,20 @@
 license: apache-2.0
 base_model: distilgpt2
 tags:
-- generated_from_keras_callback
+- generated_from_trainer
 model-index:
-- name: BrianLiu/distilgpt2-finetuned-wikitext2
+- name: distilgpt2-finetuned-wikitext2
   results: []
 ---
 
-<!-- This model card has been generated automatically according to the information Keras had access to. You should
-probably proofread and complete it, then remove this comment. -->
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
 
-# BrianLiu/distilgpt2-finetuned-wikitext2
+# distilgpt2-finetuned-wikitext2
 
 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:
-- Train Loss: 3.8578
-- Validation Loss: 3.6751
-- Epoch: 0
+- Loss: 3.6420
 
 ## Model description
 
@@ -36,19 +34,26 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
-- training_precision: float32
+- learning_rate: 2e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3.0
 
 ### Training results
 
-| Train Loss | Validation Loss | Epoch |
-|:----------:|:---------------:|:-----:|
-| 3.8578     | 3.6751          | 0     |
+| 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          |
 
 
 ### Framework versions
 
 - Transformers 4.39.3
-- TensorFlow 2.15.0
+- Pytorch 2.2.1+cu121
 - Datasets 2.18.0
 - Tokenizers 0.15.2

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