khrousdevil
commited on
Commit
•
5836c62
1
Parent(s):
1d6a4b3
Training completed!
Browse files- README.md +81 -0
- model.safetensors +1 -1
- trainer_state.json +18 -18
- training_args.bin +1 -1
README.md
ADDED
@@ -0,0 +1,81 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
license: apache-2.0
|
3 |
+
base_model: distilbert-base-uncased
|
4 |
+
tags:
|
5 |
+
- generated_from_trainer
|
6 |
+
datasets:
|
7 |
+
- emotion
|
8 |
+
metrics:
|
9 |
+
- accuracy
|
10 |
+
- f1
|
11 |
+
model-index:
|
12 |
+
- name: distilbert-base-uncased-finetuned-emotion
|
13 |
+
results:
|
14 |
+
- task:
|
15 |
+
name: Text Classification
|
16 |
+
type: text-classification
|
17 |
+
dataset:
|
18 |
+
name: emotion
|
19 |
+
type: emotion
|
20 |
+
config: split
|
21 |
+
split: validation
|
22 |
+
args: split
|
23 |
+
metrics:
|
24 |
+
- name: Accuracy
|
25 |
+
type: accuracy
|
26 |
+
value: 0.922
|
27 |
+
- name: F1
|
28 |
+
type: f1
|
29 |
+
value: 0.9219196681926928
|
30 |
+
---
|
31 |
+
|
32 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
33 |
+
should probably proofread and complete it, then remove this comment. -->
|
34 |
+
|
35 |
+
# distilbert-base-uncased-finetuned-emotion
|
36 |
+
|
37 |
+
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the emotion dataset.
|
38 |
+
It achieves the following results on the evaluation set:
|
39 |
+
- Loss: 0.2162
|
40 |
+
- Accuracy: 0.922
|
41 |
+
- F1: 0.9219
|
42 |
+
|
43 |
+
## Model description
|
44 |
+
|
45 |
+
More information needed
|
46 |
+
|
47 |
+
## Intended uses & limitations
|
48 |
+
|
49 |
+
More information needed
|
50 |
+
|
51 |
+
## Training and evaluation data
|
52 |
+
|
53 |
+
More information needed
|
54 |
+
|
55 |
+
## Training procedure
|
56 |
+
|
57 |
+
### Training hyperparameters
|
58 |
+
|
59 |
+
The following hyperparameters were used during training:
|
60 |
+
- learning_rate: 2e-05
|
61 |
+
- train_batch_size: 64
|
62 |
+
- eval_batch_size: 64
|
63 |
+
- seed: 42
|
64 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
65 |
+
- lr_scheduler_type: linear
|
66 |
+
- num_epochs: 2
|
67 |
+
|
68 |
+
### Training results
|
69 |
+
|
70 |
+
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|
71 |
+
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
|
72 |
+
| 0.8226 | 1.0 | 250 | 0.3270 | 0.9035 | 0.9024 |
|
73 |
+
| 0.2533 | 2.0 | 500 | 0.2162 | 0.922 | 0.9219 |
|
74 |
+
|
75 |
+
|
76 |
+
### Framework versions
|
77 |
+
|
78 |
+
- Transformers 4.37.2
|
79 |
+
- Pytorch 2.2.1+cu121
|
80 |
+
- Datasets 2.17.0
|
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 267844872
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:abda52c12383258863e78b0e5a36987639ae2e055704fd6abc9b9cc6963efa43
|
3 |
size 267844872
|
trainer_state.json
CHANGED
@@ -11,43 +11,43 @@
|
|
11 |
{
|
12 |
"epoch": 1.0,
|
13 |
"learning_rate": 1e-05,
|
14 |
-
"loss": 0.
|
15 |
"step": 250
|
16 |
},
|
17 |
{
|
18 |
"epoch": 1.0,
|
19 |
-
"eval_accuracy": 0.
|
20 |
-
"eval_f1": 0.
|
21 |
-
"eval_loss": 0.
|
22 |
-
"eval_runtime": 4.
|
23 |
-
"eval_samples_per_second":
|
24 |
-
"eval_steps_per_second": 7.
|
25 |
"step": 250
|
26 |
},
|
27 |
{
|
28 |
"epoch": 2.0,
|
29 |
"learning_rate": 0.0,
|
30 |
-
"loss": 0.
|
31 |
"step": 500
|
32 |
},
|
33 |
{
|
34 |
"epoch": 2.0,
|
35 |
-
"eval_accuracy": 0.
|
36 |
-
"eval_f1": 0.
|
37 |
-
"eval_loss": 0.
|
38 |
-
"eval_runtime": 4.
|
39 |
-
"eval_samples_per_second":
|
40 |
-
"eval_steps_per_second": 7.
|
41 |
"step": 500
|
42 |
},
|
43 |
{
|
44 |
"epoch": 2.0,
|
45 |
"step": 500,
|
46 |
"total_flos": 720342861696000.0,
|
47 |
-
"train_loss": 0.
|
48 |
-
"train_runtime":
|
49 |
-
"train_samples_per_second":
|
50 |
-
"train_steps_per_second": 1.
|
51 |
}
|
52 |
],
|
53 |
"logging_steps": 250,
|
|
|
11 |
{
|
12 |
"epoch": 1.0,
|
13 |
"learning_rate": 1e-05,
|
14 |
+
"loss": 0.8226,
|
15 |
"step": 250
|
16 |
},
|
17 |
{
|
18 |
"epoch": 1.0,
|
19 |
+
"eval_accuracy": 0.9035,
|
20 |
+
"eval_f1": 0.9023761650285413,
|
21 |
+
"eval_loss": 0.326994925737381,
|
22 |
+
"eval_runtime": 4.5192,
|
23 |
+
"eval_samples_per_second": 442.555,
|
24 |
+
"eval_steps_per_second": 7.081,
|
25 |
"step": 250
|
26 |
},
|
27 |
{
|
28 |
"epoch": 2.0,
|
29 |
"learning_rate": 0.0,
|
30 |
+
"loss": 0.2533,
|
31 |
"step": 500
|
32 |
},
|
33 |
{
|
34 |
"epoch": 2.0,
|
35 |
+
"eval_accuracy": 0.922,
|
36 |
+
"eval_f1": 0.9219196681926928,
|
37 |
+
"eval_loss": 0.21616625785827637,
|
38 |
+
"eval_runtime": 4.4445,
|
39 |
+
"eval_samples_per_second": 449.996,
|
40 |
+
"eval_steps_per_second": 7.2,
|
41 |
"step": 500
|
42 |
},
|
43 |
{
|
44 |
"epoch": 2.0,
|
45 |
"step": 500,
|
46 |
"total_flos": 720342861696000.0,
|
47 |
+
"train_loss": 0.5379159927368165,
|
48 |
+
"train_runtime": 263.9893,
|
49 |
+
"train_samples_per_second": 121.217,
|
50 |
+
"train_steps_per_second": 1.894
|
51 |
}
|
52 |
],
|
53 |
"logging_steps": 250,
|
training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 4728
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:91a91b9edad39c6efaf98433b769dcfef6b569ac32ebfca2ad691c24a3333fb9
|
3 |
size 4728
|