End of training
Browse files- README.md +73 -0
- pytorch_model.bin +1 -1
README.md
ADDED
|
@@ -0,0 +1,73 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: mit
|
| 3 |
+
base_model: Tommert25/robbert0410_lrate7.5b4
|
| 4 |
+
tags:
|
| 5 |
+
- generated_from_trainer
|
| 6 |
+
metrics:
|
| 7 |
+
- recall
|
| 8 |
+
- accuracy
|
| 9 |
+
model-index:
|
| 10 |
+
- name: robbert1010_lrate7.5b4
|
| 11 |
+
results: []
|
| 12 |
+
---
|
| 13 |
+
|
| 14 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 15 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 16 |
+
|
| 17 |
+
# robbert1010_lrate7.5b4
|
| 18 |
+
|
| 19 |
+
This model is a fine-tuned version of [Tommert25/robbert0410_lrate7.5b4](https://huggingface.co/Tommert25/robbert0410_lrate7.5b4) on an unknown dataset.
|
| 20 |
+
It achieves the following results on the evaluation set:
|
| 21 |
+
- Loss: 0.6951
|
| 22 |
+
- Precisions: 0.8407
|
| 23 |
+
- Recall: 0.8357
|
| 24 |
+
- F-measure: 0.8369
|
| 25 |
+
- Accuracy: 0.9176
|
| 26 |
+
|
| 27 |
+
## Model description
|
| 28 |
+
|
| 29 |
+
More information needed
|
| 30 |
+
|
| 31 |
+
## Intended uses & limitations
|
| 32 |
+
|
| 33 |
+
More information needed
|
| 34 |
+
|
| 35 |
+
## Training and evaluation data
|
| 36 |
+
|
| 37 |
+
More information needed
|
| 38 |
+
|
| 39 |
+
## Training procedure
|
| 40 |
+
|
| 41 |
+
### Training hyperparameters
|
| 42 |
+
|
| 43 |
+
The following hyperparameters were used during training:
|
| 44 |
+
- learning_rate: 7.5e-05
|
| 45 |
+
- train_batch_size: 4
|
| 46 |
+
- eval_batch_size: 4
|
| 47 |
+
- seed: 42
|
| 48 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 49 |
+
- lr_scheduler_type: linear
|
| 50 |
+
- num_epochs: 10
|
| 51 |
+
|
| 52 |
+
### Training results
|
| 53 |
+
|
| 54 |
+
| Training Loss | Epoch | Step | Validation Loss | Precisions | Recall | F-measure | Accuracy |
|
| 55 |
+
|:-------------:|:-----:|:----:|:---------------:|:----------:|:------:|:---------:|:--------:|
|
| 56 |
+
| 0.3016 | 1.0 | 942 | 0.4329 | 0.8299 | 0.7433 | 0.7703 | 0.8953 |
|
| 57 |
+
| 0.2107 | 2.0 | 1884 | 0.5107 | 0.7934 | 0.7827 | 0.7878 | 0.9055 |
|
| 58 |
+
| 0.154 | 3.0 | 2826 | 0.7341 | 0.8129 | 0.7687 | 0.7758 | 0.8935 |
|
| 59 |
+
| 0.1198 | 4.0 | 3768 | 0.7313 | 0.7973 | 0.7394 | 0.7559 | 0.8993 |
|
| 60 |
+
| 0.0928 | 5.0 | 4710 | 0.6702 | 0.7996 | 0.7765 | 0.7824 | 0.8990 |
|
| 61 |
+
| 0.0529 | 6.0 | 5652 | 0.7075 | 0.8262 | 0.7983 | 0.8099 | 0.9106 |
|
| 62 |
+
| 0.039 | 7.0 | 6594 | 0.7946 | 0.8470 | 0.7670 | 0.7899 | 0.9087 |
|
| 63 |
+
| 0.0259 | 8.0 | 7536 | 0.6951 | 0.8407 | 0.8357 | 0.8369 | 0.9176 |
|
| 64 |
+
| 0.0203 | 9.0 | 8478 | 0.6762 | 0.8380 | 0.8210 | 0.8285 | 0.9206 |
|
| 65 |
+
| 0.0181 | 10.0 | 9420 | 0.6993 | 0.8384 | 0.8206 | 0.8289 | 0.9190 |
|
| 66 |
+
|
| 67 |
+
|
| 68 |
+
### Framework versions
|
| 69 |
+
|
| 70 |
+
- Transformers 4.34.0
|
| 71 |
+
- Pytorch 2.0.1+cu118
|
| 72 |
+
- Datasets 2.14.5
|
| 73 |
+
- Tokenizers 0.14.1
|
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 464775913
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:500e47f824651f98b196ed9314681cdfaefc4f5c60202153e5928ebf8c83567f
|
| 3 |
size 464775913
|