Training in progress epoch 0
Browse files- README.md +7 -16
- config.json +1 -1
- tf_model.h5 +1 -1
README.md
CHANGED
@@ -14,11 +14,11 @@ probably proofread and complete it, then remove this comment. -->
|
|
14 |
|
15 |
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
|
16 |
It achieves the following results on the evaluation set:
|
17 |
-
- Train Loss:
|
18 |
-
- Train Accuracy: 0.
|
19 |
-
- Validation Loss:
|
20 |
-
- Validation Accuracy: 0.
|
21 |
-
- Epoch:
|
22 |
|
23 |
## Model description
|
24 |
|
@@ -37,23 +37,14 @@ More information needed
|
|
37 |
### Training hyperparameters
|
38 |
|
39 |
The following hyperparameters were used during training:
|
40 |
-
- 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': 125, '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}
|
41 |
- training_precision: mixed_float16
|
42 |
|
43 |
### Training results
|
44 |
|
45 |
| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
|
46 |
|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
|
47 |
-
|
|
48 |
-
| 3.8960 | 0.0449 | 4.3546 | 0.0447 | 1 |
|
49 |
-
| 3.8963 | 0.0451 | 4.3546 | 0.0447 | 2 |
|
50 |
-
| 3.8952 | 0.0451 | 4.3546 | 0.0447 | 3 |
|
51 |
-
| 3.8945 | 0.0451 | 4.3546 | 0.0447 | 4 |
|
52 |
-
| 3.8949 | 0.0451 | 4.3546 | 0.0447 | 5 |
|
53 |
-
| 3.8939 | 0.0451 | 4.3546 | 0.0447 | 6 |
|
54 |
-
| 3.8947 | 0.0449 | 4.3546 | 0.0447 | 7 |
|
55 |
-
| 3.8942 | 0.0449 | 4.3546 | 0.0447 | 8 |
|
56 |
-
| 3.8951 | 0.0451 | 4.3546 | 0.0447 | 9 |
|
57 |
|
58 |
|
59 |
### Framework versions
|
|
|
14 |
|
15 |
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
|
16 |
It achieves the following results on the evaluation set:
|
17 |
+
- Train Loss: 7.1912
|
18 |
+
- Train Accuracy: 0.0424
|
19 |
+
- Validation Loss: 5.8111
|
20 |
+
- Validation Accuracy: 0.0344
|
21 |
+
- Epoch: 0
|
22 |
|
23 |
## Model description
|
24 |
|
|
|
37 |
### Training hyperparameters
|
38 |
|
39 |
The following hyperparameters were used during training:
|
40 |
+
- optimizer: {'inner_optimizer': {'class_name': 'AdamWeightDecay', 'config': {'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': 125, '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}}, 'dynamic': True, 'initial_scale': 32768.0, 'dynamic_growth_steps': 2000}
|
41 |
- training_precision: mixed_float16
|
42 |
|
43 |
### Training results
|
44 |
|
45 |
| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
|
46 |
|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
|
47 |
+
| 7.1912 | 0.0424 | 5.8111 | 0.0344 | 0 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
48 |
|
49 |
|
50 |
### Framework versions
|
config.json
CHANGED
@@ -11,7 +11,7 @@
|
|
11 |
"initializer_range": 0.02,
|
12 |
"layer_norm_epsilon": 1e-05,
|
13 |
"model_type": "gpt2",
|
14 |
-
"n_ctx":
|
15 |
"n_embd": 768,
|
16 |
"n_head": 12,
|
17 |
"n_inner": null,
|
|
|
11 |
"initializer_range": 0.02,
|
12 |
"layer_norm_epsilon": 1e-05,
|
13 |
"model_type": "gpt2",
|
14 |
+
"n_ctx": 40,
|
15 |
"n_embd": 768,
|
16 |
"n_head": 12,
|
17 |
"n_inner": null,
|
tf_model.h5
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 497935464
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:6c8c55918c00a2537479d975a796b3a9f3f16d75c340275277e7780e327e9d47
|
3 |
size 497935464
|