Hugging Face's logo

aisuko
/
ft_bert_base_cased

Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Model card Files
xet
Metrics Community
aisuko commited on
Commit
c004b67
·
1 Parent(s): 4464930

ft_bert_base_cased

Browse files
Files changed (6) hide show
  1. README.md +6 -6
  2. model.safetensors +1 -1
  3. runs/Dec01_23-20-14_e0e75df6f448/events.out.tfevents.1701472816.e0e75df6f448.47.2 +3 -0
  4. runs/Dec01_23-20-14_e0e75df6f448/events.out.tfevents.1701472935.e0e75df6f448.47.3 +3 -0
  5. runs/Dec01_23-20-14_e0e75df6f448/events.out.tfevents.1701473180.e0e75df6f448.47.4 +3 -0
  6. training_args.bin +1 -1
README.md CHANGED
@@ -22,7 +22,7 @@ model-index:
22
  metrics:
23
  - name: Accuracy
24
  type: accuracy
25
- value: 0.583
26
  ---
27
 
28
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
32
 
33
  This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the yelp_review_full dataset.
34
  It achieves the following results on the evaluation set:
35
- - Loss: 1.0258
36
- - Accuracy: 0.583
37
 
38
  ## Model description
39
 
@@ -64,9 +64,9 @@ The following hyperparameters were used during training:
64
 
65
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
66
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
67
- | No log | 1.0 | 125 | 1.1468 | 0.474 |
68
- | No log | 2.0 | 250 | 1.0369 | 0.542 |
69
- | No log | 3.0 | 375 | 1.0258 | 0.583 |
70
 
71
 
72
  ### Framework versions
 
22
  metrics:
23
  - name: Accuracy
24
  type: accuracy
25
+ value: 0.593
26
  ---
27
 
28
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
32
 
33
  This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the yelp_review_full dataset.
34
  It achieves the following results on the evaluation set:
35
+ - Loss: 1.2113
36
+ - Accuracy: 0.593
37
 
38
  ## Model description
39
 
 
64
 
65
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
66
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
67
+ | No log | 1.0 | 125 | 1.0822 | 0.568 |
68
+ | No log | 2.0 | 250 | 1.0701 | 0.595 |
69
+ | No log | 3.0 | 375 | 1.2113 | 0.593 |
70
 
71
 
72
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:980b8b118e195301f12af6f8f2896b79c95c43fa280007f4a69b30393ca07fbb
3
  size 433279996
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:67507328fc97acea4f20df31503c292a33d807fe6cfb754d7020f42c7dede8b7
3
  size 433279996
runs/Dec01_23-20-14_e0e75df6f448/events.out.tfevents.1701472816.e0e75df6f448.47.2 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ed992e403cabf23947f9c741c848a8bec7eaa0cef41978a03cc9c3f1fa6f7e1d
3
+ size 4767
runs/Dec01_23-20-14_e0e75df6f448/events.out.tfevents.1701472935.e0e75df6f448.47.3 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d804a04d65dc19f13cfa39183a7d2e76d7f6f9fa50246335ce7663282b8790aa
3
+ size 5816
runs/Dec01_23-20-14_e0e75df6f448/events.out.tfevents.1701473180.e0e75df6f448.47.4 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:62e159641448e18137ff33c6ebc270c657c104ff929f948b18d6dd151cd7de5a
3
+ size 411
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:88482b084a7e79cf791186ccfed8264dfbaf806cf6c36ed2b4deec4c4e1cebe5
3
  size 4155
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4c8c6fc060b6c928c667479da1378bb30625e67fd5bf08a9679d7772adaa2318
3
  size 4155