Tristan Thrush
commited on
Commit
•
2a0f457
1
Parent(s):
6d4b9bc
update model card README.md
Browse files
README.md
CHANGED
@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
|
|
16 |
|
17 |
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset.
|
18 |
It achieves the following results on the evaluation set:
|
19 |
-
- Loss: 0.
|
20 |
-
- Accuracy: 0.
|
21 |
|
22 |
## Model description
|
23 |
|
@@ -37,12 +37,14 @@ More information needed
|
|
37 |
|
38 |
The following hyperparameters were used during training:
|
39 |
- learning_rate: 2e-05
|
40 |
-
- train_batch_size:
|
41 |
-
- eval_batch_size:
|
42 |
- seed: 42
|
43 |
- distributed_type: multi-GPU
|
44 |
-
-
|
|
|
45 |
- total_train_batch_size: 64
|
|
|
46 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
47 |
- lr_scheduler_type: linear
|
48 |
- num_epochs: 5
|
@@ -51,11 +53,11 @@ The following hyperparameters were used during training:
|
|
51 |
|
52 |
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
53 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
|
54 |
-
|
|
55 |
-
|
|
56 |
-
|
|
57 |
-
|
|
58 |
-
|
|
59 |
|
60 |
|
61 |
### Framework versions
|
|
|
16 |
|
17 |
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset.
|
18 |
It achieves the following results on the evaluation set:
|
19 |
+
- Loss: 0.7376
|
20 |
+
- Accuracy: 0.6020
|
21 |
|
22 |
## Model description
|
23 |
|
|
|
37 |
|
38 |
The following hyperparameters were used during training:
|
39 |
- learning_rate: 2e-05
|
40 |
+
- train_batch_size: 8
|
41 |
+
- eval_batch_size: 8
|
42 |
- seed: 42
|
43 |
- distributed_type: multi-GPU
|
44 |
+
- num_devices: 4
|
45 |
+
- gradient_accumulation_steps: 2
|
46 |
- total_train_batch_size: 64
|
47 |
+
- total_eval_batch_size: 32
|
48 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
49 |
- lr_scheduler_type: linear
|
50 |
- num_epochs: 5
|
|
|
53 |
|
54 |
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
55 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
|
56 |
+
| 0.6521 | 1.0 | 1451 | 0.6670 | 0.6037 |
|
57 |
+
| 0.6101 | 2.0 | 2902 | 0.6763 | 0.6022 |
|
58 |
+
| 0.5772 | 3.0 | 4353 | 0.7034 | 0.6026 |
|
59 |
+
| 0.5503 | 4.0 | 5804 | 0.7215 | 0.6024 |
|
60 |
+
| 0.5347 | 5.0 | 7255 | 0.7376 | 0.6020 |
|
61 |
|
62 |
|
63 |
### Framework versions
|