End of training
Browse files
README.md
ADDED
@@ -0,0 +1,81 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
license: mit
|
3 |
+
base_model: roberta-base
|
4 |
+
tags:
|
5 |
+
- generated_from_trainer
|
6 |
+
metrics:
|
7 |
+
- accuracy
|
8 |
+
- f1
|
9 |
+
model-index:
|
10 |
+
- name: roberta_classification
|
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 |
+
# roberta_classification
|
18 |
+
|
19 |
+
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
|
20 |
+
It achieves the following results on the evaluation set:
|
21 |
+
- Loss: 1.2731
|
22 |
+
- Accuracy: {'accuracy': 0.8465909090909091}
|
23 |
+
- F1: {'f1': 0.8396445042099528}
|
24 |
+
|
25 |
+
## Model description
|
26 |
+
|
27 |
+
More information needed
|
28 |
+
|
29 |
+
## Intended uses & limitations
|
30 |
+
|
31 |
+
More information needed
|
32 |
+
|
33 |
+
## Training and evaluation data
|
34 |
+
|
35 |
+
More information needed
|
36 |
+
|
37 |
+
## Training procedure
|
38 |
+
|
39 |
+
### Training hyperparameters
|
40 |
+
|
41 |
+
The following hyperparameters were used during training:
|
42 |
+
- learning_rate: 2e-05
|
43 |
+
- train_batch_size: 32
|
44 |
+
- eval_batch_size: 32
|
45 |
+
- seed: 42
|
46 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
47 |
+
- lr_scheduler_type: linear
|
48 |
+
- num_epochs: 20
|
49 |
+
|
50 |
+
### Training results
|
51 |
+
|
52 |
+
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|
53 |
+
|:-------------:|:-----:|:----:|:---------------:|:--------------------------------:|:--------------------------:|
|
54 |
+
| No log | 1.0 | 263 | 1.1741 | {'accuracy': 0.6363636363636364} | {'f1': 0.6202787331893512} |
|
55 |
+
| 1.181 | 2.0 | 526 | 0.9322 | {'accuracy': 0.7386363636363636} | {'f1': 0.7177199655598837} |
|
56 |
+
| 1.181 | 3.0 | 789 | 0.7835 | {'accuracy': 0.7727272727272727} | {'f1': 0.7657783584890875} |
|
57 |
+
| 0.3689 | 4.0 | 1052 | 0.8597 | {'accuracy': 0.7727272727272727} | {'f1': 0.768360357103512} |
|
58 |
+
| 0.3689 | 5.0 | 1315 | 0.7560 | {'accuracy': 0.8125} | {'f1': 0.8031513875852524} |
|
59 |
+
| 0.165 | 6.0 | 1578 | 0.7579 | {'accuracy': 0.8200757575757576} | {'f1': 0.8142845258630059} |
|
60 |
+
| 0.165 | 7.0 | 1841 | 0.8900 | {'accuracy': 0.8352272727272727} | {'f1': 0.8316422201059607} |
|
61 |
+
| 0.0778 | 8.0 | 2104 | 0.9315 | {'accuracy': 0.8295454545454546} | {'f1': 0.825285136658407} |
|
62 |
+
| 0.0778 | 9.0 | 2367 | 1.1370 | {'accuracy': 0.8181818181818182} | {'f1': 0.8091288762824846} |
|
63 |
+
| 0.0335 | 10.0 | 2630 | 1.0799 | {'accuracy': 0.8465909090909091} | {'f1': 0.841700330957688} |
|
64 |
+
| 0.0335 | 11.0 | 2893 | 1.2487 | {'accuracy': 0.8314393939393939} | {'f1': 0.8269815181159639} |
|
65 |
+
| 0.0162 | 12.0 | 3156 | 1.2194 | {'accuracy': 0.8295454545454546} | {'f1': 0.8243565671691487} |
|
66 |
+
| 0.0162 | 13.0 | 3419 | 1.2592 | {'accuracy': 0.8333333333333334} | {'f1': 0.8312612314115424} |
|
67 |
+
| 0.0073 | 14.0 | 3682 | 1.2885 | {'accuracy': 0.8257575757575758} | {'f1': 0.8198413592956925} |
|
68 |
+
| 0.0073 | 15.0 | 3945 | 1.2133 | {'accuracy': 0.8352272727272727} | {'f1': 0.8291568008253063} |
|
69 |
+
| 0.0046 | 16.0 | 4208 | 1.2625 | {'accuracy': 0.8409090909090909} | {'f1': 0.8343252944129244} |
|
70 |
+
| 0.0046 | 17.0 | 4471 | 1.2498 | {'accuracy': 0.8409090909090909} | {'f1': 0.8356461395476784} |
|
71 |
+
| 0.0032 | 18.0 | 4734 | 1.3041 | {'accuracy': 0.8390151515151515} | {'f1': 0.8307896138032654} |
|
72 |
+
| 0.0032 | 19.0 | 4997 | 1.2544 | {'accuracy': 0.8446969696969697} | {'f1': 0.83889081905153} |
|
73 |
+
| 0.0022 | 20.0 | 5260 | 1.2731 | {'accuracy': 0.8465909090909091} | {'f1': 0.8396445042099528} |
|
74 |
+
|
75 |
+
|
76 |
+
### Framework versions
|
77 |
+
|
78 |
+
- Transformers 4.35.2
|
79 |
+
- Pytorch 2.1.0+cu121
|
80 |
+
- Datasets 2.16.1
|
81 |
+
- Tokenizers 0.15.1
|
model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 838906340
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e32efca3e5770fcfa7df3e2009e0dcc76d50684c8944633cc6c9b52d11f61710
|
3 |
size 838906340
|
runs/Jan28_17-12-26_e774e0b31f70/events.out.tfevents.1706461948.e774e0b31f70.1737.0
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:b2f167afb0109395b2f94fecbe48cfb810c3a282fe2bcf7812116027bb01148b
|
3 |
+
size 12719
|