update model card README.md
Browse files
README.md
CHANGED
@@ -2,6 +2,8 @@
|
|
2 |
license: apache-2.0
|
3 |
tags:
|
4 |
- generated_from_trainer
|
|
|
|
|
5 |
model-index:
|
6 |
- name: finetuned_bert-base-uncased
|
7 |
results: []
|
@@ -14,13 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
|
|
14 |
|
15 |
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
|
16 |
It achieves the following results on the evaluation set:
|
17 |
-
-
|
18 |
-
-
|
19 |
-
- eval_runtime: 5.434
|
20 |
-
- eval_samples_per_second: 369.524
|
21 |
-
- eval_steps_per_second: 23.187
|
22 |
-
- epoch: 34.0
|
23 |
-
- step: 17068
|
24 |
|
25 |
## Model description
|
26 |
|
@@ -45,7 +42,33 @@ The following hyperparameters were used during training:
|
|
45 |
- seed: 42
|
46 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
47 |
- lr_scheduler_type: linear
|
48 |
-
- num_epochs:
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
49 |
|
50 |
### Framework versions
|
51 |
|
|
|
2 |
license: apache-2.0
|
3 |
tags:
|
4 |
- generated_from_trainer
|
5 |
+
metrics:
|
6 |
+
- accuracy
|
7 |
model-index:
|
8 |
- name: finetuned_bert-base-uncased
|
9 |
results: []
|
|
|
16 |
|
17 |
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
|
18 |
It achieves the following results on the evaluation set:
|
19 |
+
- Loss: 2.8732
|
20 |
+
- Accuracy: 0.4263
|
|
|
|
|
|
|
|
|
|
|
21 |
|
22 |
## Model description
|
23 |
|
|
|
42 |
- seed: 42
|
43 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
44 |
- lr_scheduler_type: linear
|
45 |
+
- num_epochs: 20
|
46 |
+
|
47 |
+
### Training results
|
48 |
+
|
49 |
+
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
50 |
+
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
|
51 |
+
| 1.7365 | 1.0 | 502 | 1.5167 | 0.4288 |
|
52 |
+
| 1.3495 | 2.0 | 1004 | 1.4797 | 0.4592 |
|
53 |
+
| 1.1131 | 3.0 | 1506 | 1.5093 | 0.4527 |
|
54 |
+
| 0.9213 | 4.0 | 2008 | 1.6501 | 0.4522 |
|
55 |
+
| 0.7787 | 5.0 | 2510 | 1.7494 | 0.4407 |
|
56 |
+
| 0.6594 | 6.0 | 3012 | 1.8600 | 0.4417 |
|
57 |
+
| 0.5807 | 7.0 | 3514 | 1.9974 | 0.4412 |
|
58 |
+
| 0.5142 | 8.0 | 4016 | 2.0887 | 0.4273 |
|
59 |
+
| 0.4716 | 9.0 | 4518 | 2.1556 | 0.4273 |
|
60 |
+
| 0.4364 | 10.0 | 5020 | 2.2847 | 0.4348 |
|
61 |
+
| 0.3934 | 11.0 | 5522 | 2.3842 | 0.4298 |
|
62 |
+
| 0.3774 | 12.0 | 6024 | 2.4663 | 0.4228 |
|
63 |
+
| 0.3498 | 13.0 | 6526 | 2.5637 | 0.4253 |
|
64 |
+
| 0.337 | 14.0 | 7028 | 2.6162 | 0.4273 |
|
65 |
+
| 0.3191 | 15.0 | 7530 | 2.6466 | 0.4268 |
|
66 |
+
| 0.3081 | 16.0 | 8032 | 2.6214 | 0.4288 |
|
67 |
+
| 0.2889 | 17.0 | 8534 | 2.8064 | 0.4258 |
|
68 |
+
| 0.2831 | 18.0 | 9036 | 2.8042 | 0.4228 |
|
69 |
+
| 0.2733 | 19.0 | 9538 | 2.8510 | 0.4288 |
|
70 |
+
| 0.2648 | 20.0 | 10040 | 2.8732 | 0.4263 |
|
71 |
+
|
72 |
|
73 |
### Framework versions
|
74 |
|