Hugging Face's logo

PracticalWork
/
xlm-roberta-large-classifier

Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
Model card Files
xet
Community
29thDay commited on
Commit
1a0d256
·
verified ·
1 Parent(s): 902bec4

End of training

Browse files
Files changed (3) hide show
  1. README.md +12 -11
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -19,9 +19,9 @@ should probably proofread and complete it, then remove this comment. -->
19
 
20
  This model is a fine-tuned version of [FacebookAI/xlm-roberta-large](https://huggingface.co/FacebookAI/xlm-roberta-large) on an unknown dataset.
21
  It achieves the following results on the evaluation set:
22
- - Loss: 0.3678
23
- - Accuracy: 0.8577
24
- - F1: 0.7706
25
 
26
  ## Model description
27
 
@@ -46,17 +46,18 @@ The following hyperparameters were used during training:
46
  - seed: 42
47
  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
48
  - lr_scheduler_type: linear
49
- - num_epochs: 2
50
 
51
  ### Training results
52
 
53
- | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
54
- |:-------------:|:------:|:----:|:---------------:|:--------:|:------:|
55
- | No log | 0 | 0 | 0.6856 | 0.7114 | 0.0217 |
56
- | No log | 0.4026 | 126 | 0.5024 | 0.7730 | 0.6578 |
57
- | No log | 0.8051 | 252 | 0.4709 | 0.7578 | 0.6745 |
58
- | No log | 1.2077 | 378 | 0.3623 | 0.8457 | 0.7510 |
59
- | 0.4188 | 1.6102 | 504 | 0.3243 | 0.8633 | 0.7641 |
 
60
 
61
 
62
  ### Framework versions
 
19
 
20
  This model is a fine-tuned version of [FacebookAI/xlm-roberta-large](https://huggingface.co/FacebookAI/xlm-roberta-large) on an unknown dataset.
21
  It achieves the following results on the evaluation set:
22
+ - Loss: 0.4191
23
+ - Accuracy: 0.8689
24
+ - F1: 0.7831
25
 
26
  ## Model description
27
 
 
46
  - seed: 42
47
  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
48
  - lr_scheduler_type: linear
49
+ - num_epochs: 5
50
 
51
  ### Training results
52
 
53
+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
54
+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
55
+ | No log | 0 | 0 | 0.8859 | 0.2894 | 0.4489 |
56
+ | No log | 1.0 | 313 | 0.3979 | 0.8161 | 0.6866 |
57
+ | 0.4587 | 2.0 | 626 | 0.3995 | 0.8505 | 0.7562 |
58
+ | 0.4587 | 3.0 | 939 | 0.3341 | 0.8729 | 0.7757 |
59
+ | 0.3067 | 4.0 | 1252 | 0.3884 | 0.8753 | 0.7827 |
60
+ | 0.2147 | 5.0 | 1565 | 0.4191 | 0.8689 | 0.7831 |
61
 
62
 
63
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:9ad96a19009ffd77ddc8f4a24e2ccdad1cb58ed9ac6267970c6e4c9b14643cac
3
  size 2239618672
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cbfdc3102a12366ff42a305a9985d61ad3b572cd789a2f43b1247016cb10858c
3
  size 2239618672
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:2aae284072edcf2dc4f12fd49e1e49fbace79cf1e03e98ccdb199d77f7990a6f
3
  size 5368
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bd9bd4f427614b70589d46219a16a3908bf0f24e360e791a43d07fdb5c889536
3
  size 5368