Hugging Face's logo

haryoaw
/
scenario-normal-finetune-clf-data-indolem_sentiment-model-xlm-roberta-base

Text Classification
Transformers
PyTorch
xlm-roberta
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Community
haryoaw commited on
Commit
5088124
•
1 Parent(s): e52417b

Initial Commit

Browse files
Files changed (3) hide show
  1. README.md +14 -13
  2. pytorch_model.bin +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -17,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
17
 
18
  This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the indolem_sentiment dataset.
19
  It achieves the following results on the evaluation set:
20
- - Loss: 0.6171
21
 
22
  ## Model description
23
 
@@ -36,7 +36,7 @@ More information needed
36
  ### Training hyperparameters
37
 
38
  The following hyperparameters were used during training:
39
- - learning_rate: 5e-05
40
  - train_batch_size: 8
41
  - eval_batch_size: 8
42
  - seed: 42
@@ -48,17 +48,18 @@ The following hyperparameters were used during training:
48
 
49
  | Training Loss | Epoch | Step | Validation Loss |
50
  |:-------------:|:-----:|:----:|:---------------:|
51
- | No log | 0.22 | 100 | 0.6046 |
52
- | No log | 0.44 | 200 | 0.6079 |
53
- | No log | 0.66 | 300 | 0.6091 |
54
- | No log | 0.88 | 400 | 0.6057 |
55
- | 0.6278 | 1.1 | 500 | 0.6073 |
56
- | 0.6278 | 1.32 | 600 | 0.6139 |
57
- | 0.6278 | 1.54 | 700 | 0.6050 |
58
- | 0.6278 | 1.76 | 800 | 0.6120 |
59
- | 0.6278 | 1.98 | 900 | 0.6073 |
60
- | 0.6138 | 2.2 | 1000 | 0.6066 |
61
- | 0.6138 | 2.42 | 1100 | 0.6171 |
 
62
 
63
 
64
  ### Framework versions
 
17
 
18
  This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the indolem_sentiment dataset.
19
  It achieves the following results on the evaluation set:
20
+ - Loss: 0.6193
21
 
22
  ## Model description
23
 
 
36
  ### Training hyperparameters
37
 
38
  The following hyperparameters were used during training:
39
+ - learning_rate: 0.0001
40
  - train_batch_size: 8
41
  - eval_batch_size: 8
42
  - seed: 42
 
48
 
49
  | Training Loss | Epoch | Step | Validation Loss |
50
  |:-------------:|:-----:|:----:|:---------------:|
51
+ | No log | 0.22 | 100 | 0.6056 |
52
+ | No log | 0.44 | 200 | 0.6052 |
53
+ | No log | 0.66 | 300 | 0.6101 |
54
+ | No log | 0.88 | 400 | 0.6056 |
55
+ | 0.6407 | 1.1 | 500 | 0.6091 |
56
+ | 0.6407 | 1.32 | 600 | 0.6126 |
57
+ | 0.6407 | 1.54 | 700 | 0.6084 |
58
+ | 0.6407 | 1.76 | 800 | 0.6293 |
59
+ | 0.6407 | 1.98 | 900 | 0.6134 |
60
+ | 0.6139 | 2.2 | 1000 | 0.6211 |
61
+ | 0.6139 | 2.42 | 1100 | 0.6450 |
62
+ | 0.6139 | 2.64 | 1200 | 0.6193 |
63
 
64
 
65
  ### Framework versions
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:9b46f25ad7cc060d137e9776878155e58ea4efbd25be5e20e21edcce2502f63c
3
  size 1112249713
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:56537fdbb46a6b2feeadf95feb0e1592dec562ed5e5320eb7464c5ec9b22a78d
3
  size 1112249713
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:3a37c129b9c46b1ef86eae1e7aa24b3e15687ad8b80fd63ec6da5f0fd8e357ba
3
  size 4219
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d58497568f67c637af624bd4662f24fda5ca6d8e7c60f799086d7d0c3e5a8f47
3
  size 4219