Model save
Browse files
README.md
CHANGED
@@ -21,11 +21,11 @@ should probably proofread and complete it, then remove this comment. -->
|
|
21 |
|
22 |
This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on an unknown dataset.
|
23 |
It achieves the following results on the evaluation set:
|
24 |
-
- Loss: 0.
|
25 |
-
- F1: 0.
|
26 |
-
- Accuracy: 0.
|
27 |
-
- Precision: 0.
|
28 |
-
- Recall: 0.
|
29 |
|
30 |
## Model description
|
31 |
|
@@ -45,8 +45,8 @@ More information needed
|
|
45 |
|
46 |
The following hyperparameters were used during training:
|
47 |
- learning_rate: 3e-05
|
48 |
-
- train_batch_size:
|
49 |
-
- eval_batch_size:
|
50 |
- seed: 42
|
51 |
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
|
52 |
- lr_scheduler_type: cosine
|
@@ -55,17 +55,17 @@ The following hyperparameters were used during training:
|
|
55 |
|
56 |
### Training results
|
57 |
|
58 |
-
| Training Loss | Epoch | Step
|
59 |
-
|
60 |
-
| No log | 0 | 0
|
61 |
-
|
|
62 |
-
| 0.
|
63 |
-
| 0.
|
64 |
|
65 |
|
66 |
### Framework versions
|
67 |
|
68 |
- Transformers 4.48.1
|
69 |
-
- Pytorch 2.
|
70 |
-
- Datasets 3.
|
71 |
- Tokenizers 0.21.0
|
|
|
21 |
|
22 |
This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on an unknown dataset.
|
23 |
It achieves the following results on the evaluation set:
|
24 |
+
- Loss: 0.3830
|
25 |
+
- F1: 0.8183
|
26 |
+
- Accuracy: 0.8212
|
27 |
+
- Precision: 0.8171
|
28 |
+
- Recall: 0.8212
|
29 |
|
30 |
## Model description
|
31 |
|
|
|
45 |
|
46 |
The following hyperparameters were used during training:
|
47 |
- learning_rate: 3e-05
|
48 |
+
- train_batch_size: 8
|
49 |
+
- eval_batch_size: 8
|
50 |
- seed: 42
|
51 |
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
|
52 |
- lr_scheduler_type: cosine
|
|
|
55 |
|
56 |
### Training results
|
57 |
|
58 |
+
| Training Loss | Epoch | Step | Validation Loss | F1 | Accuracy | Precision | Recall |
|
59 |
+
|:-------------:|:-----:|:-----:|:---------------:|:------:|:--------:|:---------:|:------:|
|
60 |
+
| No log | 0 | 0 | 0.7214 | 0.5368 | 0.5168 | 0.6201 | 0.5168 |
|
61 |
+
| 0.5801 | 1.0 | 6158 | 0.4019 | 0.8069 | 0.8092 | 0.8056 | 0.8092 |
|
62 |
+
| 0.4354 | 2.0 | 12316 | 0.3835 | 0.8176 | 0.8212 | 0.8165 | 0.8212 |
|
63 |
+
| 0.4089 | 3.0 | 18474 | 0.3830 | 0.8183 | 0.8212 | 0.8171 | 0.8212 |
|
64 |
|
65 |
|
66 |
### Framework versions
|
67 |
|
68 |
- Transformers 4.48.1
|
69 |
+
- Pytorch 2.4.1+cu121
|
70 |
+
- Datasets 3.0.1
|
71 |
- Tokenizers 0.21.0
|