Upload model

README.md

@@ -1,4 +1,6 @@
 ---
+license: mit
+base_model: gpt2
 tags:
 - generated_from_keras_callback
 model-index:
@@ -11,7 +13,7 @@ probably proofread and complete it, then remove this comment. -->
 
 # tdk-model
 
-This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
+This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
 It achieves the following results on the evaluation set:
 
 
@@ -32,7 +34,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'transformers.optimization_tf', 'class_name': 'WarmUp', 'config': {'initial_learning_rate': 5e-05, 'decay_schedule_fn': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': -1000, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'warmup_steps': 1000, 'power': 1.0, 'name': None}, 'registered_name': 'WarmUp'}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
+- optimizer: None
 - training_precision: float32
 
 ### Training results

config.json

@@ -1,4 +1,5 @@
 {
+  "_name_or_path": "gpt2",
   "activation_function": "gelu_new",
   "architectures": [
     "GPT2LMHeadModel"
@@ -31,7 +32,6 @@
       "max_length": 50
     }
   },
-  "torch_dtype": "float32",
   "transformers_version": "4.35.2",
   "use_cache": true,
   "vocab_size": 50257

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:db13a093c96b66532b6ae28d99b728da505c5991715b47cb7e20b1297a12e819
-size 7120
+oid sha256:d2103e994faecface37230ffa38af0b9e036ffad5693ef9d4065efd257d47e7f
+size 497935440