Training complete
Browse files- README.md +83 -0
- pytorch_model.bin +1 -1
README.md
ADDED
|
@@ -0,0 +1,83 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: mor40/BulBERT-finetuned-cinexio
|
| 3 |
+
tags:
|
| 4 |
+
- generated_from_trainer
|
| 5 |
+
datasets:
|
| 6 |
+
- bgglue
|
| 7 |
+
metrics:
|
| 8 |
+
- accuracy
|
| 9 |
+
model-index:
|
| 10 |
+
- name: BulBERT-cinexio-10epochs
|
| 11 |
+
results:
|
| 12 |
+
- task:
|
| 13 |
+
name: Text Classification
|
| 14 |
+
type: text-classification
|
| 15 |
+
dataset:
|
| 16 |
+
name: bgglue
|
| 17 |
+
type: bgglue
|
| 18 |
+
config: cinexio
|
| 19 |
+
split: validation
|
| 20 |
+
args: cinexio
|
| 21 |
+
metrics:
|
| 22 |
+
- name: Accuracy
|
| 23 |
+
type: accuracy
|
| 24 |
+
value: 0.6288532675709001
|
| 25 |
+
---
|
| 26 |
+
|
| 27 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 28 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 29 |
+
|
| 30 |
+
# BulBERT-cinexio-10epochs
|
| 31 |
+
|
| 32 |
+
This model is a fine-tuned version of [mor40/BulBERT-finetuned-cinexio](https://huggingface.co/mor40/BulBERT-finetuned-cinexio) on the bgglue dataset.
|
| 33 |
+
It achieves the following results on the evaluation set:
|
| 34 |
+
- Loss: 1.1866
|
| 35 |
+
- Accuracy: 0.6289
|
| 36 |
+
|
| 37 |
+
## Model description
|
| 38 |
+
|
| 39 |
+
More information needed
|
| 40 |
+
|
| 41 |
+
## Intended uses & limitations
|
| 42 |
+
|
| 43 |
+
More information needed
|
| 44 |
+
|
| 45 |
+
## Training and evaluation data
|
| 46 |
+
|
| 47 |
+
More information needed
|
| 48 |
+
|
| 49 |
+
## Training procedure
|
| 50 |
+
|
| 51 |
+
### Training hyperparameters
|
| 52 |
+
|
| 53 |
+
The following hyperparameters were used during training:
|
| 54 |
+
- learning_rate: 2e-05
|
| 55 |
+
- train_batch_size: 128
|
| 56 |
+
- eval_batch_size: 128
|
| 57 |
+
- seed: 42
|
| 58 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 59 |
+
- lr_scheduler_type: linear
|
| 60 |
+
- num_epochs: 10
|
| 61 |
+
|
| 62 |
+
### Training results
|
| 63 |
+
|
| 64 |
+
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
| 65 |
+
|:-------------:|:-----:|:----:|:---------------:|:--------:|
|
| 66 |
+
| No log | 1.0 | 64 | 1.3334 | 0.5746 |
|
| 67 |
+
| No log | 2.0 | 128 | 1.2053 | 0.6017 |
|
| 68 |
+
| No log | 3.0 | 192 | 1.1826 | 0.6227 |
|
| 69 |
+
| No log | 4.0 | 256 | 1.1826 | 0.6252 |
|
| 70 |
+
| No log | 5.0 | 320 | 1.1671 | 0.6227 |
|
| 71 |
+
| No log | 6.0 | 384 | 1.1743 | 0.6289 |
|
| 72 |
+
| No log | 7.0 | 448 | 1.1795 | 0.6375 |
|
| 73 |
+
| 1.0262 | 8.0 | 512 | 1.1847 | 0.6178 |
|
| 74 |
+
| 1.0262 | 9.0 | 576 | 1.1877 | 0.6264 |
|
| 75 |
+
| 1.0262 | 10.0 | 640 | 1.1866 | 0.6289 |
|
| 76 |
+
|
| 77 |
+
|
| 78 |
+
### Framework versions
|
| 79 |
+
|
| 80 |
+
- Transformers 4.34.1
|
| 81 |
+
- Pytorch 2.1.0+cu118
|
| 82 |
+
- Datasets 2.14.5
|
| 83 |
+
- 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 328540206
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f53fb8e9a77ec605463ab9f6f18898746a78350c8fe0bb69934e70497639e4c0
|
| 3 |
size 328540206
|