Commit
·
2b55993
1
Parent(s):
b62f5be
update model card README.md
Browse files
README.md
CHANGED
|
@@ -13,6 +13,8 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 13 |
# gpt-m-large
|
| 14 |
|
| 15 |
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset.
|
|
|
|
|
|
|
| 16 |
|
| 17 |
## Model description
|
| 18 |
|
|
@@ -32,16 +34,53 @@ More information needed
|
|
| 32 |
|
| 33 |
The following hyperparameters were used during training:
|
| 34 |
- learning_rate: 5e-05
|
| 35 |
-
- train_batch_size:
|
| 36 |
-
- eval_batch_size:
|
| 37 |
- seed: 42
|
| 38 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 39 |
- lr_scheduler_type: linear
|
| 40 |
-
- num_epochs:
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 41 |
|
| 42 |
### Framework versions
|
| 43 |
|
| 44 |
- Transformers 4.27.3
|
| 45 |
-
- Pytorch
|
| 46 |
- Datasets 2.10.1
|
| 47 |
- Tokenizers 0.13.2
|
|
|
|
| 13 |
# gpt-m-large
|
| 14 |
|
| 15 |
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset.
|
| 16 |
+
It achieves the following results on the evaluation set:
|
| 17 |
+
- Loss: 0.0342
|
| 18 |
|
| 19 |
## Model description
|
| 20 |
|
|
|
|
| 34 |
|
| 35 |
The following hyperparameters were used during training:
|
| 36 |
- learning_rate: 5e-05
|
| 37 |
+
- train_batch_size: 64
|
| 38 |
+
- eval_batch_size: 64
|
| 39 |
- seed: 42
|
| 40 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 41 |
- lr_scheduler_type: linear
|
| 42 |
+
- num_epochs: 1
|
| 43 |
+
|
| 44 |
+
### Training results
|
| 45 |
+
|
| 46 |
+
| Training Loss | Epoch | Step | Validation Loss |
|
| 47 |
+
|:-------------:|:-----:|:-----:|:---------------:|
|
| 48 |
+
| 0.6102 | 0.03 | 1000 | 0.3834 |
|
| 49 |
+
| 1.2492 | 0.06 | 2000 | 0.5341 |
|
| 50 |
+
| 0.839 | 0.09 | 3000 | 0.5090 |
|
| 51 |
+
| 1.8656 | 0.13 | 4000 | 1.4058 |
|
| 52 |
+
| 0.0595 | 0.16 | 5000 | 0.0546 |
|
| 53 |
+
| 0.0462 | 0.19 | 6000 | 0.0404 |
|
| 54 |
+
| 0.0399 | 0.22 | 7000 | 0.0372 |
|
| 55 |
+
| 0.0382 | 0.25 | 8000 | 0.0363 |
|
| 56 |
+
| 0.037 | 0.28 | 9000 | 0.0361 |
|
| 57 |
+
| 0.0365 | 0.31 | 10000 | 0.0352 |
|
| 58 |
+
| 0.0362 | 0.35 | 11000 | 0.0349 |
|
| 59 |
+
| 0.0357 | 0.38 | 12000 | 0.0347 |
|
| 60 |
+
| 0.0356 | 0.41 | 13000 | 0.0345 |
|
| 61 |
+
| 0.0349 | 0.44 | 14000 | 0.0344 |
|
| 62 |
+
| 0.0352 | 0.47 | 15000 | 0.0343 |
|
| 63 |
+
| 0.0355 | 0.5 | 16000 | 0.0342 |
|
| 64 |
+
| 0.0354 | 0.53 | 17000 | 0.0342 |
|
| 65 |
+
| 0.0352 | 0.57 | 18000 | 0.0342 |
|
| 66 |
+
| 0.0352 | 0.6 | 19000 | 0.0342 |
|
| 67 |
+
| 0.0352 | 0.63 | 20000 | 0.0342 |
|
| 68 |
+
| 0.0351 | 0.66 | 21000 | 0.0342 |
|
| 69 |
+
| 0.0348 | 0.69 | 22000 | 0.0342 |
|
| 70 |
+
| 0.035 | 0.72 | 23000 | 0.0342 |
|
| 71 |
+
| 0.0354 | 0.75 | 24000 | 0.0342 |
|
| 72 |
+
| 0.0354 | 0.79 | 25000 | 0.0342 |
|
| 73 |
+
| 0.0353 | 0.82 | 26000 | 0.0342 |
|
| 74 |
+
| 0.0352 | 0.85 | 27000 | 0.0342 |
|
| 75 |
+
| 0.035 | 0.88 | 28000 | 0.0342 |
|
| 76 |
+
| 0.0349 | 0.91 | 29000 | 0.0342 |
|
| 77 |
+
| 0.0351 | 0.94 | 30000 | 0.0342 |
|
| 78 |
+
| 0.0355 | 0.97 | 31000 | 0.0342 |
|
| 79 |
+
|
| 80 |
|
| 81 |
### Framework versions
|
| 82 |
|
| 83 |
- Transformers 4.27.3
|
| 84 |
+
- Pytorch 2.0.0+cu117
|
| 85 |
- Datasets 2.10.1
|
| 86 |
- Tokenizers 0.13.2
|