teddythinh
commited on
Commit
•
71bf916
1
Parent(s):
d2a6ebf
Training in progress epoch 0
Browse files
README.md
CHANGED
@@ -15,13 +15,13 @@ probably proofread and complete it, then remove this comment. -->
|
|
15 |
|
16 |
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
|
17 |
It achieves the following results on the evaluation set:
|
18 |
-
- Train Loss: 1.
|
19 |
-
- Train End Logits Accuracy: 0.
|
20 |
-
- Train Start Logits Accuracy: 0.
|
21 |
-
- Validation Loss: 1.
|
22 |
-
- Validation End Logits Accuracy: 0.
|
23 |
-
- Validation Start Logits Accuracy: 0.
|
24 |
-
- Epoch:
|
25 |
|
26 |
## Model description
|
27 |
|
@@ -40,15 +40,14 @@ More information needed
|
|
40 |
### Training hyperparameters
|
41 |
|
42 |
The following hyperparameters were used during training:
|
43 |
-
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps':
|
44 |
- training_precision: float32
|
45 |
|
46 |
### Training results
|
47 |
|
48 |
| Train Loss | Train End Logits Accuracy | Train Start Logits Accuracy | Validation Loss | Validation End Logits Accuracy | Validation Start Logits Accuracy | Epoch |
|
49 |
|:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
|
50 |
-
| 1.
|
51 |
-
| 1.0465 | 0.7060 | 0.6779 | 1.3740 | 0.6421 | 0.6054 | 1 |
|
52 |
|
53 |
|
54 |
### Framework versions
|
|
|
15 |
|
16 |
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
|
17 |
It achieves the following results on the evaluation set:
|
18 |
+
- Train Loss: 1.7353
|
19 |
+
- Train End Logits Accuracy: 0.5542
|
20 |
+
- Train Start Logits Accuracy: 0.5220
|
21 |
+
- Validation Loss: 1.3391
|
22 |
+
- Validation End Logits Accuracy: 0.6428
|
23 |
+
- Validation Start Logits Accuracy: 0.6126
|
24 |
+
- Epoch: 0
|
25 |
|
26 |
## Model description
|
27 |
|
|
|
40 |
### Training hyperparameters
|
41 |
|
42 |
The following hyperparameters were used during training:
|
43 |
+
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 4418, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
|
44 |
- training_precision: float32
|
45 |
|
46 |
### Training results
|
47 |
|
48 |
| Train Loss | Train End Logits Accuracy | Train Start Logits Accuracy | Validation Loss | Validation End Logits Accuracy | Validation Start Logits Accuracy | Epoch |
|
49 |
|:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
|
50 |
+
| 1.7353 | 0.5542 | 0.5220 | 1.3391 | 0.6428 | 0.6126 | 0 |
|
|
|
51 |
|
52 |
|
53 |
### Framework versions
|
logs/train/events.out.tfevents.1705463230.ca4451306d02.1196.0.v2
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:149f0164a51c43b9079f6200dca3ccb60a4dec71dad5d3ba301434a5bda4420b
|
3 |
+
size 1205493
|
logs/validation/events.out.tfevents.1705464603.ca4451306d02.1196.1.v2
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a0fbe81347ca23da93810c264528eb6b71d1f686ef63bda03692eb0c626956c1
|
3 |
+
size 604
|
tf_model.h5
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 265583592
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9b9eb75897caeb4dba035eb6870f24b62c7e14e1af1e54211dc3317beaae6ae1
|
3 |
size 265583592
|