Model save
Browse files
README.md
CHANGED
|
@@ -19,14 +19,14 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 19 |
|
| 20 |
This model is a fine-tuned version of [yiyanghkust/finbert-tone](https://huggingface.co/yiyanghkust/finbert-tone) on the None dataset.
|
| 21 |
It achieves the following results on the evaluation set:
|
| 22 |
-
- Loss:
|
| 23 |
-
- Accuracy: 0
|
| 24 |
-
- Precision: 0
|
| 25 |
-
- Recall: 0
|
| 26 |
-
- F1: 0
|
| 27 |
-
- F1 Macro: 0
|
| 28 |
-
- Precision Macro: 0
|
| 29 |
-
- Recall Macro: 0
|
| 30 |
|
| 31 |
## Model description
|
| 32 |
|
|
@@ -51,16 +51,16 @@ The following hyperparameters were used during training:
|
|
| 51 |
- seed: 42
|
| 52 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 53 |
- lr_scheduler_type: linear
|
| 54 |
-
- lr_scheduler_warmup_steps:
|
| 55 |
- num_epochs: 3
|
| 56 |
|
| 57 |
### Training results
|
| 58 |
|
| 59 |
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | F1 Macro | Precision Macro | Recall Macro |
|
| 60 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:--------:|:---------------:|:------------:|
|
| 61 |
-
| No log | 1.0 |
|
| 62 |
-
|
|
| 63 |
-
|
|
| 64 |
|
| 65 |
|
| 66 |
### Framework versions
|
|
|
|
| 19 |
|
| 20 |
This model is a fine-tuned version of [yiyanghkust/finbert-tone](https://huggingface.co/yiyanghkust/finbert-tone) on the None dataset.
|
| 21 |
It achieves the following results on the evaluation set:
|
| 22 |
+
- Loss: 0.0014
|
| 23 |
+
- Accuracy: 1.0
|
| 24 |
+
- Precision: 1.0
|
| 25 |
+
- Recall: 1.0
|
| 26 |
+
- F1: 1.0
|
| 27 |
+
- F1 Macro: 1.0
|
| 28 |
+
- Precision Macro: 1.0
|
| 29 |
+
- Recall Macro: 1.0
|
| 30 |
|
| 31 |
## Model description
|
| 32 |
|
|
|
|
| 51 |
- seed: 42
|
| 52 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 53 |
- lr_scheduler_type: linear
|
| 54 |
+
- lr_scheduler_warmup_steps: 12
|
| 55 |
- num_epochs: 3
|
| 56 |
|
| 57 |
### Training results
|
| 58 |
|
| 59 |
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | F1 Macro | Precision Macro | Recall Macro |
|
| 60 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:--------:|:---------------:|:------------:|
|
| 61 |
+
| No log | 1.0 | 7 | 0.1790 | 0.8462 | 0.8846 | 0.8462 | 0.8555 | 0.8030 | 0.7778 | 0.8889 |
|
| 62 |
+
| 1.3694 | 2.0 | 14 | 0.0238 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 63 |
+
| 0.433 | 3.0 | 21 | 0.0014 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 |
|
| 64 |
|
| 65 |
|
| 66 |
### Framework versions
|
logs/events.out.tfevents.1752049311.pkrvmfkh1xnbeme.2489.0
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1803411651f5b347e1e9f2461f838350d14343ee2ae9e4518a84e0e337abb828
|
| 3 |
+
size 7668
|