Training in progress epoch 0
Browse files
README.md
CHANGED
|
@@ -14,10 +14,10 @@ probably proofread and complete it, then remove this comment. -->
|
|
| 14 |
|
| 15 |
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
|
| 16 |
It achieves the following results on the evaluation set:
|
| 17 |
-
- Train Loss: 0.
|
| 18 |
- Validation Loss: 0.6270
|
| 19 |
- Train Accuracy: 0.7349
|
| 20 |
-
- Epoch:
|
| 21 |
|
| 22 |
## Model description
|
| 23 |
|
|
@@ -43,26 +43,7 @@ The following hyperparameters were used during training:
|
|
| 43 |
|
| 44 |
| Train Loss | Validation Loss | Train Accuracy | Epoch |
|
| 45 |
|:----------:|:---------------:|:--------------:|:-----:|
|
| 46 |
-
| 0.
|
| 47 |
-
| 0.2103 | 0.6270 | 0.7349 | 1 |
|
| 48 |
-
| 0.2067 | 0.6270 | 0.7349 | 2 |
|
| 49 |
-
| 0.2092 | 0.6270 | 0.7349 | 3 |
|
| 50 |
-
| 0.2125 | 0.6270 | 0.7349 | 4 |
|
| 51 |
-
| 0.2025 | 0.6270 | 0.7349 | 5 |
|
| 52 |
-
| 0.2063 | 0.6270 | 0.7349 | 6 |
|
| 53 |
-
| 0.1994 | 0.6270 | 0.7349 | 7 |
|
| 54 |
-
| 0.2102 | 0.6270 | 0.7349 | 8 |
|
| 55 |
-
| 0.2049 | 0.6270 | 0.7349 | 9 |
|
| 56 |
-
| 0.2116 | 0.6270 | 0.7349 | 10 |
|
| 57 |
-
| 0.2064 | 0.6270 | 0.7349 | 11 |
|
| 58 |
-
| 0.2064 | 0.6270 | 0.7349 | 12 |
|
| 59 |
-
| 0.2041 | 0.6270 | 0.7349 | 13 |
|
| 60 |
-
| 0.2021 | 0.6270 | 0.7349 | 14 |
|
| 61 |
-
| 0.2111 | 0.6270 | 0.7349 | 15 |
|
| 62 |
-
| 0.2018 | 0.6270 | 0.7349 | 16 |
|
| 63 |
-
| 0.2049 | 0.6270 | 0.7349 | 17 |
|
| 64 |
-
| 0.2091 | 0.6270 | 0.7349 | 18 |
|
| 65 |
-
| 0.2021 | 0.6270 | 0.7349 | 19 |
|
| 66 |
|
| 67 |
|
| 68 |
### Framework versions
|
|
|
|
| 14 |
|
| 15 |
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
|
| 16 |
It achieves the following results on the evaluation set:
|
| 17 |
+
- Train Loss: 0.2042
|
| 18 |
- Validation Loss: 0.6270
|
| 19 |
- Train Accuracy: 0.7349
|
| 20 |
+
- Epoch: 0
|
| 21 |
|
| 22 |
## Model description
|
| 23 |
|
|
|
|
| 43 |
|
| 44 |
| Train Loss | Validation Loss | Train Accuracy | Epoch |
|
| 45 |
|:----------:|:---------------:|:--------------:|:-----:|
|
| 46 |
+
| 0.2042 | 0.6270 | 0.7349 | 0 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 47 |
|
| 48 |
|
| 49 |
### Framework versions
|