Training in progress epoch 2

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: 4.0552
-- Validation Loss: 3.5645
-- Epoch: 1
+- Train Loss: 4.0056
+- Validation Loss: 3.5623
+- Epoch: 2
 
 ## Model description
 
@@ -35,7 +35,7 @@ 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': 5.9999996e-07, '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-08, '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
@@ -44,6 +44,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------:|:-----:|
 | 4.4456     | 3.5894          | 0     |
 | 4.0552     | 3.5645          | 1     |
+| 4.0056     | 3.5623          | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:04378e464755313c3a0a05f147e5a431d1ca295a930a1c94d0114c39ba338066
 size 2284292940