Hugging Face's logo

nickrwu
/
roberta-large-finetuned-race-finetuned-mathqa

Multiple Choice
Transformers
Safetensors
roberta
Generated from Trainer
Inference Endpoints
Model card Files Community
nickrwu commited on
Commit
1b25416
•
1 Parent(s): 75e0925

End of training

Browse files
Files changed (3) hide show
  1. README.md +11 -11
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
20
 
21
  This model is a fine-tuned version of [LIAMF-USP/roberta-large-finetuned-race](https://huggingface.co/LIAMF-USP/roberta-large-finetuned-race) on an unknown dataset.
22
  It achieves the following results on the evaluation set:
23
- - Loss: 0.1661
24
- - Accuracy: 0.9640
25
- - F1: 0.9636
26
- - Precision: 0.9638
27
- - Recall: 0.9635
28
 
29
  ## Model description
30
 
@@ -44,7 +44,7 @@ More information needed
44
 
45
  The following hyperparameters were used during training:
46
  - learning_rate: 2e-05
47
- - train_batch_size: 10
48
  - eval_batch_size: 16
49
  - seed: 42
50
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
@@ -54,11 +54,11 @@ The following hyperparameters were used during training:
54
 
55
  ### Training results
56
 
57
- | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
58
- |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
59
- | 0.2057 | 1.0 | 2970 | 0.1744 | 0.9563 | 0.9561 | 0.9557 | 0.9565 |
60
- | 0.1484 | 2.0 | 5940 | 0.1642 | 0.9583 | 0.9583 | 0.9588 | 0.9578 |
61
- | 0.1309 | 3.0 | 8910 | 0.1661 | 0.9640 | 0.9636 | 0.9638 | 0.9635 |
62
 
63
 
64
  ### Framework versions
 
20
 
21
  This model is a fine-tuned version of [LIAMF-USP/roberta-large-finetuned-race](https://huggingface.co/LIAMF-USP/roberta-large-finetuned-race) on an unknown dataset.
22
  It achieves the following results on the evaluation set:
23
+ - Loss: 1.1282
24
+ - Accuracy: 0.5476
25
+ - F1: 0.5470
26
+ - Precision: 0.5528
27
+ - Recall: 0.5444
28
 
29
  ## Model description
30
 
 
44
 
45
  The following hyperparameters were used during training:
46
  - learning_rate: 2e-05
47
+ - train_batch_size: 8
48
  - eval_batch_size: 16
49
  - seed: 42
50
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 
54
 
55
  ### Training results
56
 
57
+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
58
+ |:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:---------:|:------:|
59
+ | 1.3497 | 1.0 | 3712 | 1.2886 | 0.4659 | 0.4640 | 0.4761 | 0.4609 |
60
+ | 1.2074 | 2.0 | 7424 | 1.1684 | 0.5187 | 0.5182 | 0.5253 | 0.5153 |
61
+ | 1.0072 | 3.0 | 11136 | 1.1282 | 0.5476 | 0.5470 | 0.5528 | 0.5444 |
62
 
63
 
64
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:ff37bf0e53f2a079d861c99c675e6aae1980384e0f26ebf4172f169e45361137
3
  size 1421491284
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:372b080b9ce10d898d5cd514d90442854afd9a9302d6adaf6b6c55aba482cf47
3
  size 1421491284
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:7b357a7a2a182ec256db84a7e8c005f546aab814470e12e102f589888a566113
3
  size 4984
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:061ab701983e333ed52b913672807ea96858728a70b36bfcfc1a2fffdf67181b
3
  size 4984