Commit
·
871d2fa
1
Parent(s):
8abe706
update model card README.md
Browse files
README.md
CHANGED
|
@@ -12,9 +12,9 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 12 |
|
| 13 |
# gpt-m-large
|
| 14 |
|
| 15 |
-
This model is a fine-tuned version of [
|
| 16 |
It achieves the following results on the evaluation set:
|
| 17 |
-
- Loss: 0.
|
| 18 |
|
| 19 |
## Model description
|
| 20 |
|
|
@@ -45,37 +45,37 @@ The following hyperparameters were used during training:
|
|
| 45 |
|
| 46 |
| Training Loss | Epoch | Step | Validation Loss |
|
| 47 |
|:-------------:|:-----:|:-----:|:---------------:|
|
| 48 |
-
| 0.
|
| 49 |
-
|
|
| 50 |
-
| 0.
|
| 51 |
-
|
|
| 52 |
-
| 0.
|
| 53 |
-
| 0.
|
| 54 |
-
| 0.
|
| 55 |
-
| 0.
|
| 56 |
-
| 0.
|
| 57 |
-
| 0.
|
| 58 |
-
| 0.
|
| 59 |
-
| 0.
|
| 60 |
-
| 0.
|
| 61 |
-
| 0.
|
| 62 |
-
| 0.
|
| 63 |
-
| 0.
|
| 64 |
-
| 0.
|
| 65 |
-
| 0.
|
| 66 |
-
| 0.
|
| 67 |
-
| 0.
|
| 68 |
-
| 0.
|
| 69 |
-
| 0.
|
| 70 |
-
| 0.
|
| 71 |
-
| 0.
|
| 72 |
-
| 0.
|
| 73 |
-
| 0.
|
| 74 |
-
| 0.
|
| 75 |
-
| 0.
|
| 76 |
-
| 0.
|
| 77 |
-
| 0.
|
| 78 |
-
| 0.
|
| 79 |
|
| 80 |
|
| 81 |
### Framework versions
|
|
|
|
| 12 |
|
| 13 |
# gpt-m-large
|
| 14 |
|
| 15 |
+
This model is a fine-tuned version of [augustocsc/gpt-m-large](https://huggingface.co/augustocsc/gpt-m-large) on the None dataset.
|
| 16 |
It achieves the following results on the evaluation set:
|
| 17 |
+
- Loss: 0.0327
|
| 18 |
|
| 19 |
## Model description
|
| 20 |
|
|
|
|
| 45 |
|
| 46 |
| Training Loss | Epoch | Step | Validation Loss |
|
| 47 |
|:-------------:|:-----:|:-----:|:---------------:|
|
| 48 |
+
| 0.0343 | 0.03 | 1000 | 0.0343 |
|
| 49 |
+
| 0.0337 | 0.06 | 2000 | 0.0342 |
|
| 50 |
+
| 0.0338 | 0.09 | 3000 | 0.0338 |
|
| 51 |
+
| 0.0349 | 0.13 | 4000 | 0.0337 |
|
| 52 |
+
| 0.034 | 0.16 | 5000 | 0.0335 |
|
| 53 |
+
| 0.0342 | 0.19 | 6000 | 0.0334 |
|
| 54 |
+
| 0.0341 | 0.22 | 7000 | 0.0333 |
|
| 55 |
+
| 0.0339 | 0.25 | 8000 | 0.0333 |
|
| 56 |
+
| 0.0336 | 0.28 | 9000 | 0.0331 |
|
| 57 |
+
| 0.0335 | 0.31 | 10000 | 0.0330 |
|
| 58 |
+
| 0.0334 | 0.35 | 11000 | 0.0330 |
|
| 59 |
+
| 0.0331 | 0.38 | 12000 | 0.0328 |
|
| 60 |
+
| 0.0332 | 0.41 | 13000 | 0.0328 |
|
| 61 |
+
| 0.0327 | 0.44 | 14000 | 0.0327 |
|
| 62 |
+
| 0.0331 | 0.47 | 15000 | 0.0327 |
|
| 63 |
+
| 0.0335 | 0.5 | 16000 | 0.0327 |
|
| 64 |
+
| 0.0333 | 0.53 | 17000 | 0.0327 |
|
| 65 |
+
| 0.0333 | 0.57 | 18000 | 0.0327 |
|
| 66 |
+
| 0.0333 | 0.6 | 19000 | 0.0327 |
|
| 67 |
+
| 0.0332 | 0.63 | 20000 | 0.0327 |
|
| 68 |
+
| 0.0331 | 0.66 | 21000 | 0.0327 |
|
| 69 |
+
| 0.0328 | 0.69 | 22000 | 0.0327 |
|
| 70 |
+
| 0.033 | 0.72 | 23000 | 0.0327 |
|
| 71 |
+
| 0.0334 | 0.75 | 24000 | 0.0327 |
|
| 72 |
+
| 0.0334 | 0.79 | 25000 | 0.0327 |
|
| 73 |
+
| 0.0333 | 0.82 | 26000 | 0.0327 |
|
| 74 |
+
| 0.0332 | 0.85 | 27000 | 0.0327 |
|
| 75 |
+
| 0.033 | 0.88 | 28000 | 0.0327 |
|
| 76 |
+
| 0.033 | 0.91 | 29000 | 0.0327 |
|
| 77 |
+
| 0.0331 | 0.94 | 30000 | 0.0327 |
|
| 78 |
+
| 0.0335 | 0.97 | 31000 | 0.0327 |
|
| 79 |
|
| 80 |
|
| 81 |
### Framework versions
|