Hugging Face's logo

s91023
/
distilbert-base-uncased-finetuned-emotion

Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Metrics Community
s91023 commited on
Commit
97e083e
•
1 Parent(s): ae2748e

End of training

Browse files
Files changed (6) hide show
  1. .DS_Store +0 -0
  2. README.md +7 -7
  3. model.safetensors +1 -1
  4. runs/.DS_Store +0 -0
  5. runs/Nov27_13-58-35_Seans-MBP3/events.out.tfevents.1701115115.Seans-MBP3.93051.0 +3 -0
  6. training_args.bin +1 -1
.DS_Store ADDED
Binary file (8.2 kB). View file
 
README.md CHANGED
@@ -23,10 +23,10 @@ model-index:
23
  metrics:
24
  - name: Accuracy
25
  type: accuracy
26
- value: 0.9265
27
  - name: F1
28
  type: f1
29
- value: 0.9262286412331932
30
  ---
31
 
32
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -36,9 +36,9 @@ should probably proofread and complete it, then remove this comment. -->
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: 0.2209
40
- - Accuracy: 0.9265
41
- - F1: 0.9262
42
 
43
  ## Model description
44
 
@@ -69,8 +69,8 @@ The following hyperparameters were used during training:
69
 
70
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
71
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
72
- | 0.8323 | 1.0 | 250 | 0.3288 | 0.904 | 0.9022 |
73
- | 0.2536 | 2.0 | 500 | 0.2209 | 0.9265 | 0.9262 |
74
 
75
 
76
  ### Framework versions
 
23
  metrics:
24
  - name: Accuracy
25
  type: accuracy
26
+ value: 0.9225
27
  - name: F1
28
  type: f1
29
+ value: 0.9224809819267223
30
  ---
31
 
32
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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: 0.2143
40
+ - Accuracy: 0.9225
41
+ - F1: 0.9225
42
 
43
  ## Model description
44
 
 
69
 
70
  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
71
  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
72
+ | 0.8456 | 1.0 | 250 | 0.3210 | 0.903 | 0.9022 |
73
+ | 0.2553 | 2.0 | 500 | 0.2143 | 0.9225 | 0.9225 |
74
 
75
 
76
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:400e4407c003ab71391a6305790688aaba55498e08b50feaa3c1d88b7e025a38
3
  size 267844872
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:df59c45f8317e3b83401b059040f4668617ba4b68fd9a16d909ce744c94b4b12
3
  size 267844872
runs/.DS_Store ADDED
Binary file (6.15 kB). View file
 
runs/Nov27_13-58-35_Seans-MBP3/events.out.tfevents.1701115115.Seans-MBP3.93051.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:11305c5aadf8105afdc57fb2841e60b2124c7ea0824976a5394895790564d231
3
+ size 5837
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:aba7d44618c266d664a80d13cfca6f952f0179935e524a16cbb623554bc72273
3
  size 4600
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:74a9183a8beccd225724eec69331e0ba181271c2ce52191823518165b5c0ca7a
3
  size 4600