End of training
Browse files- README.md +75 -0
- pytorch_model.bin +1 -1
README.md
ADDED
@@ -0,0 +1,75 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
license: mit
|
3 |
+
base_model: minoosh/finetuned_roberta-base-uncased
|
4 |
+
tags:
|
5 |
+
- generated_from_trainer
|
6 |
+
metrics:
|
7 |
+
- accuracy
|
8 |
+
model-index:
|
9 |
+
- name: finetuned_ieroberta-base_on_shEMO_transcripts
|
10 |
+
results: []
|
11 |
+
---
|
12 |
+
|
13 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
14 |
+
should probably proofread and complete it, then remove this comment. -->
|
15 |
+
|
16 |
+
# finetuned_ieroberta-base_on_shEMO_transcripts
|
17 |
+
|
18 |
+
This model is a fine-tuned version of [minoosh/finetuned_roberta-base-uncased](https://huggingface.co/minoosh/finetuned_roberta-base-uncased) on an unknown dataset.
|
19 |
+
It achieves the following results on the evaluation set:
|
20 |
+
- Loss: 1.1943
|
21 |
+
- Accuracy: 0.5933
|
22 |
+
|
23 |
+
## Model description
|
24 |
+
|
25 |
+
More information needed
|
26 |
+
|
27 |
+
## Intended uses & limitations
|
28 |
+
|
29 |
+
More information needed
|
30 |
+
|
31 |
+
## Training and evaluation data
|
32 |
+
|
33 |
+
More information needed
|
34 |
+
|
35 |
+
## Training procedure
|
36 |
+
|
37 |
+
### Training hyperparameters
|
38 |
+
|
39 |
+
The following hyperparameters were used during training:
|
40 |
+
- learning_rate: 2e-05
|
41 |
+
- train_batch_size: 32
|
42 |
+
- eval_batch_size: 32
|
43 |
+
- seed: 42
|
44 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
45 |
+
- lr_scheduler_type: linear
|
46 |
+
- lr_scheduler_warmup_ratio: 0.1
|
47 |
+
- num_epochs: 15
|
48 |
+
|
49 |
+
### Training results
|
50 |
+
|
51 |
+
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
52 |
+
|:-------------:|:-----:|:----:|:---------------:|:--------:|
|
53 |
+
| 1.3824 | 1.0 | 75 | 1.1850 | 0.5967 |
|
54 |
+
| 1.1196 | 2.0 | 150 | 0.9580 | 0.6533 |
|
55 |
+
| 1.0229 | 3.0 | 225 | 0.8937 | 0.6767 |
|
56 |
+
| 0.8293 | 4.0 | 300 | 0.9288 | 0.6767 |
|
57 |
+
| 0.7624 | 5.0 | 375 | 0.8706 | 0.6867 |
|
58 |
+
| 0.6093 | 6.0 | 450 | 0.9811 | 0.68 |
|
59 |
+
| 0.5163 | 7.0 | 525 | 1.0072 | 0.66 |
|
60 |
+
| 0.4541 | 8.0 | 600 | 1.0485 | 0.6633 |
|
61 |
+
| 0.3915 | 9.0 | 675 | 1.0788 | 0.66 |
|
62 |
+
| 0.3513 | 10.0 | 750 | 1.2308 | 0.6633 |
|
63 |
+
| 0.3011 | 11.0 | 825 | 1.2203 | 0.6767 |
|
64 |
+
| 0.1669 | 12.0 | 900 | 1.2282 | 0.6567 |
|
65 |
+
| 0.1987 | 13.0 | 975 | 1.2879 | 0.6467 |
|
66 |
+
| 0.2169 | 14.0 | 1050 | 1.3021 | 0.6533 |
|
67 |
+
| 0.1623 | 15.0 | 1125 | 1.3126 | 0.66 |
|
68 |
+
|
69 |
+
|
70 |
+
### Framework versions
|
71 |
+
|
72 |
+
- Transformers 4.34.1
|
73 |
+
- Pytorch 2.1.0+cu118
|
74 |
+
- Datasets 2.14.6
|
75 |
+
- 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 1112262446
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c9d1b1ebec2386cd0a306b5ab1ee694aa3303f99ffd59b6b37821057facaad19
|
3 |
size 1112262446
|