Training in progress epoch 0

README.md

@@ -2,20 +2,22 @@
 license: apache-2.0
 base_model: distilgpt2
 tags:
-- generated_from_trainer
+- generated_from_keras_callback
 model-index:
-- name: distilgpt2-finetuned-wikitext2
+- name: BrianLiu/distilgpt2-finetuned-wikitext2
   results: []
 ---
 
-<!-- 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. -->
+<!-- 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. -->
 
-# distilgpt2-finetuned-wikitext2
+# BrianLiu/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:
-- Loss: 3.6420
+- Train Loss: 3.8578
+- Validation Loss: 3.6751
+- Epoch: 0
 
 ## Model description
 
@@ -34,26 +36,19 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- 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
+- 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
 
 ### Training results
 
-| 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          |
+| Train Loss | Validation Loss | Epoch |
+|:----------:|:---------------:|:-----:|
+| 3.8578     | 3.6751          | 0     |
 
 
 ### Framework versions
 
 - Transformers 4.39.3
-- Pytorch 2.2.1+cu121
+- TensorFlow 2.15.0
 - Datasets 2.18.0
 - Tokenizers 0.15.2

config.json

@@ -39,7 +39,6 @@
       "max_length": 50
     }
   },
-  "torch_dtype": "float32",
   "transformers_version": "4.39.3",
   "use_cache": true,
   "vocab_size": 50257

logs/train/events.out.tfevents.1712735669.ee8261688e2f.7481.0.v2

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logs/validation/events.out.tfevents.1712736070.ee8261688e2f.7481.1.v2

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special_tokens_map.json

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+{
+  "bos_token": "<|endoftext|>",
+  "eos_token": "<|endoftext|>",
+  "unk_token": "<|endoftext|>"
+}

tf_model.h5

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+size 327745472

tokenizer_config.json

@@ -0,0 +1,19 @@
+{
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "50256": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<|endoftext|>",
+  "clean_up_tokenization_spaces": true,
+  "eos_token": "<|endoftext|>",
+  "model_max_length": 1024,
+  "tokenizer_class": "GPT2Tokenizer",
+  "unk_token": "<|endoftext|>"
+}