badokorach commited on
Commit
7a32654
1 Parent(s): b73378e

Training in progress epoch 0

Browse files
Files changed (2) hide show
  1. README.md +4 -7
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -15,9 +15,9 @@ probably proofread and complete it, then remove this comment. -->
15
 
16
  This model is a fine-tuned version of [distilbert-base-cased-distilled-squad](https://huggingface.co/distilbert-base-cased-distilled-squad) on an unknown dataset.
17
  It achieves the following results on the evaluation set:
18
- - Train Loss: 0.8949
19
  - Validation Loss: 0.0
20
- - Epoch: 3
21
 
22
  ## Model description
23
 
@@ -36,17 +36,14 @@ More information needed
36
  ### Training hyperparameters
37
 
38
  The following hyperparameters were used during training:
39
- - optimizer: {'name': 'Adam', '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': {'module': None, 'class_name': 'CustomLearningRateScheduler', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 2088, 'warmup_steps': 232, 'end_learning_rate': 1e-05}, 'registered_name': 'CustomLearningRateScheduler'}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
40
  - training_precision: mixed_float16
41
 
42
  ### Training results
43
 
44
  | Train Loss | Validation Loss | Epoch |
45
  |:----------:|:---------------:|:-----:|
46
- | 2.6715 | 0.0 | 0 |
47
- | 1.7772 | 0.0 | 1 |
48
- | 1.2837 | 0.0 | 2 |
49
- | 0.8949 | 0.0 | 3 |
50
 
51
 
52
  ### Framework versions
 
15
 
16
  This model is a fine-tuned version of [distilbert-base-cased-distilled-squad](https://huggingface.co/distilbert-base-cased-distilled-squad) on an unknown dataset.
17
  It achieves the following results on the evaluation set:
18
+ - Train Loss: 2.8817
19
  - Validation Loss: 0.0
20
+ - Epoch: 0
21
 
22
  ## Model description
23
 
 
36
  ### Training hyperparameters
37
 
38
  The following hyperparameters were used during training:
39
+ - optimizer: {'inner_optimizer': {'module': 'transformers.optimization_tf', 'class_name': 'AdamWeightDecay', 'config': {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 1e-05, 'decay_steps': 1725, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.8999999761581421, 'beta_2': 0.9990000128746033, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.02}, 'registered_name': 'AdamWeightDecay'}, 'dynamic': True, 'initial_scale': 32768.0, 'dynamic_growth_steps': 2000}
40
  - training_precision: mixed_float16
41
 
42
  ### Training results
43
 
44
  | Train Loss | Validation Loss | Epoch |
45
  |:----------:|:---------------:|:-----:|
46
+ | 2.8817 | 0.0 | 0 |
 
 
 
47
 
48
 
49
  ### Framework versions
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:7f3518ac14de110cdfe62c6da8c92f18fec7b4dc5aec9eb507898970601daa0f
3
  size 260895720
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a18afeb7377f4b557a33edf5fe5d05b9318406b69a5b334e67c219d95373a7cb
3
  size 260895720