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README.md

@@ -14,8 +14,8 @@ probably proofread and complete it, then remove this comment. -->
 
 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:
-- Train Loss: 9.1610
-- Validation Loss: 8.9702
+- Train Loss: 8.4905
+- Validation Loss: 8.4397
 - Epoch: 2
 
 ## Model description
@@ -36,15 +36,15 @@ More information needed
 
 The following hyperparameters were used during training:
 - optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'WarmUp', 'config': {'initial_learning_rate': 5e-05, 'decay_schedule_fn': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': -985, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, '__passive_serialization__': True}, 'warmup_steps': 1000, 'power': 1.0, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
-- training_precision: mixed_float16
+- training_precision: float32
 
 ### Training results
 
 | Train Loss | Validation Loss | Epoch |
 |:----------:|:---------------:|:-----:|
-| 9.6117     | 9.5362          | 0     |
-| 9.4478     | 9.2722          | 1     |
-| 9.1610     | 8.9702          | 2     |
+| 8.8734     | 8.7298          | 0     |
+| 8.6494     | 8.5595          | 1     |
+| 8.4905     | 8.4397          | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8bece7985fb903896dca0a1aa5e8b50420716d602e227e6a0a6145d01370e403
+oid sha256:86e318f6b941db2b4c99bee64ed4f900d3cfb8fb2bb2f4aafca816c7ff417fc9
 size 385107024