Hugging Face's logo

dcere
/
ta1c-Clickbait-Detector-es-large

Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Model card Files
xet
 Community
dcere commited on
Commit
25e713a
·
verified ·
1 Parent(s): ebded0a

End of training

Browse files
Files changed (2) hide show
  1. README.md +5 -6
  2. model.safetensors +1 -1
README.md CHANGED
@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
16
 
17
  This model is a fine-tuned version of [PlanTL-GOB-ES/roberta-large-bne](https://huggingface.co/PlanTL-GOB-ES/roberta-large-bne) on the None dataset.
18
  It achieves the following results on the evaluation set:
19
- - Loss: 0.5583
20
- - Macro F1: 0.8882
21
 
22
  ## Model description
23
 
@@ -43,16 +43,15 @@ The following hyperparameters were used during training:
43
  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
44
  - lr_scheduler_type: linear
45
  - lr_scheduler_warmup_ratio: 0.1
46
- - num_epochs: 3
47
  - mixed_precision_training: Native AMP
48
 
49
  ### Training results
50
 
51
  | Training Loss | Epoch | Step | Validation Loss | Macro F1 |
52
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
53
- | 0.3922 | 1.0 | 140 | 0.2767 | 0.8827 |
54
- | 0.166 | 2.0 | 280 | 0.4407 | 0.895 |
55
- | 0.0411 | 3.0 | 420 | 0.5583 | 0.8882 |
56
 
57
 
58
  ### Framework versions
 
16
 
17
  This model is a fine-tuned version of [PlanTL-GOB-ES/roberta-large-bne](https://huggingface.co/PlanTL-GOB-ES/roberta-large-bne) on the None dataset.
18
  It achieves the following results on the evaluation set:
19
+ - Loss: 0.2719
20
+ - Macro F1: 0.8756
21
 
22
  ## Model description
23
 
 
43
  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
44
  - lr_scheduler_type: linear
45
  - lr_scheduler_warmup_ratio: 0.1
46
+ - num_epochs: 2
47
  - mixed_precision_training: Native AMP
48
 
49
  ### Training results
50
 
51
  | Training Loss | Epoch | Step | Validation Loss | Macro F1 |
52
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
53
+ | 0.2024 | 1.0 | 175 | 0.2124 | 0.8776 |
54
+ | 0.0955 | 2.0 | 350 | 0.2719 | 0.8756 |
 
55
 
56
 
57
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:f6aa250b202e989e5724d4c24c6a74c149c9b82b2d578f3f27bb50b0246a2e9b
3
  size 1421483128
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e1992573815c72d904b20259c7fcf180f0ad9aa31dab5d52a91c1238471d3cea
3
  size 1421483128