Training in progress epoch 0

README.md

@@ -14,9 +14,9 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/pegasus-large](https://huggingface.co/google/pegasus-large) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 3.4083
-- Validation Loss: 3.4691
-- Epoch: 9
+- Train Loss: 3.9851
+- Validation Loss: 3.6010
+- Epoch: 0
 
 ## Model description
 
@@ -35,23 +35,14 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- optimizer: {'name': 'Adafactor', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': 6e-06, 'beta_2_decay': -0.8, 'epsilon_1': 1e-30, 'epsilon_2': 0.001, 'clip_threshold': 1.0, 'relative_step': True}
+- optimizer: {'name': 'Adafactor', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': 6e-05, 'beta_2_decay': -0.8, 'epsilon_1': 1e-30, 'epsilon_2': 0.001, 'clip_threshold': 1.0, 'relative_step': True}
 - training_precision: mixed_float16
 
 ### Training results
 
 | Train Loss | Validation Loss | Epoch |
 |:----------:|:---------------:|:-----:|
-| 4.1942     | 3.5810          | 0     |
-| 3.9609     | 3.5179          | 1     |
-| 3.8011     | 3.4821          | 2     |
-| 3.7033     | 3.4657          | 3     |
-| 3.6277     | 3.4644          | 4     |
-| 3.5381     | 3.4608          | 5     |
-| 3.4876     | 3.4655          | 6     |
-| 3.4281     | 3.4664          | 7     |
-| 3.4193     | 3.4679          | 8     |
-| 3.4083     | 3.4691          | 9     |
+| 3.9851     | 3.6010          | 0     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:b0f3beecece7a8f3cb470239f95ea435006bef7d710d558bec0e10e4d98f01ce
 size 2284292940