Hugging Face's logo

kietnt0603
/
xlmr-finetuned

Fill-Mask
Transformers
TensorBoard
Safetensors
xlm-roberta
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
kietnt0603 commited on
Commit
e5e65de
•
1 Parent(s): a8ec6dd

End of training

Browse files
Files changed (6) hide show
  1. README.md +91 -0
  2. model.safetensors +1 -1
  3. runs/Jan08_06-57-03_888b241fbbaf/events.out.tfevents.1704697024.888b241fbbaf.42.0 +3 -0
  4. runs/Jan08_07-00-55_888b241fbbaf/events.out.tfevents.1704697256.888b241fbbaf.42.1 +3 -0
  5. runs/Jan08_07-10-26_888b241fbbaf/events.out.tfevents.1704697828.888b241fbbaf.42.2 +3 -0
  6. training_args.bin +2 -2
README.md ADDED
@@ -0,0 +1,91 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: mit
3
+ base_model: xlm-roberta-base
4
+ tags:
5
+ - generated_from_trainer
6
+ model-index:
7
+ - name: xlmr-finetuned
8
+ results: []
9
+ ---
10
+
11
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
12
+ should probably proofread and complete it, then remove this comment. -->
13
+
14
+ # xlmr-finetuned
15
+
16
+ This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
17
+ It achieves the following results on the evaluation set:
18
+ - Loss: 1.3897
19
+
20
+ ## Model description
21
+
22
+ More information needed
23
+
24
+ ## Intended uses & limitations
25
+
26
+ More information needed
27
+
28
+ ## Training and evaluation data
29
+
30
+ More information needed
31
+
32
+ ## Training procedure
33
+
34
+ ### Training hyperparameters
35
+
36
+ The following hyperparameters were used during training:
37
+ - learning_rate: 5e-05
38
+ - train_batch_size: 16
39
+ - eval_batch_size: 8
40
+ - seed: 42
41
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
42
+ - lr_scheduler_type: linear
43
+ - num_epochs: 10
44
+ - mixed_precision_training: Native AMP
45
+
46
+ ### Training results
47
+
48
+ | Training Loss | Epoch | Step | Validation Loss |
49
+ |:-------------:|:-----:|:-----:|:---------------:|
50
+ | 3.1718 | 0.29 | 500 | 2.5733 |
51
+ | 2.8822 | 0.59 | 1000 | 2.3739 |
52
+ | 2.7361 | 0.88 | 1500 | 2.3563 |
53
+ | 2.6077 | 1.18 | 2000 | 2.2466 |
54
+ | 2.4731 | 1.47 | 2500 | 2.2027 |
55
+ | 2.4545 | 1.76 | 3000 | 2.2104 |
56
+ | 2.467 | 2.06 | 3500 | 2.0885 |
57
+ | 2.3209 | 2.35 | 4000 | 2.0476 |
58
+ | 2.2937 | 2.64 | 4500 | 1.9431 |
59
+ | 2.2624 | 2.94 | 5000 | 1.9157 |
60
+ | 2.1502 | 3.23 | 5500 | 1.8811 |
61
+ | 2.1445 | 3.53 | 6000 | 1.8488 |
62
+ | 2.1308 | 3.82 | 6500 | 1.8074 |
63
+ | 2.0752 | 4.11 | 7000 | 1.8089 |
64
+ | 2.032 | 4.41 | 7500 | 1.7853 |
65
+ | 2.0253 | 4.7 | 8000 | 1.7723 |
66
+ | 1.9904 | 4.99 | 8500 | 1.6976 |
67
+ | 1.9348 | 5.29 | 9000 | 1.6399 |
68
+ | 1.9116 | 5.58 | 9500 | 1.6159 |
69
+ | 1.9105 | 5.88 | 10000 | 1.5930 |
70
+ | 1.8649 | 6.17 | 10500 | 1.5590 |
71
+ | 1.8108 | 6.46 | 11000 | 1.5662 |
72
+ | 1.8084 | 6.76 | 11500 | 1.5504 |
73
+ | 1.7835 | 7.05 | 12000 | 1.5933 |
74
+ | 1.7324 | 7.34 | 12500 | 1.5500 |
75
+ | 1.7358 | 7.64 | 13000 | 1.4570 |
76
+ | 1.726 | 7.93 | 13500 | 1.4775 |
77
+ | 1.6477 | 8.23 | 14000 | 1.4382 |
78
+ | 1.6768 | 8.52 | 14500 | 1.4717 |
79
+ | 1.6073 | 8.81 | 15000 | 1.4162 |
80
+ | 1.6516 | 9.11 | 15500 | 1.4516 |
81
+ | 1.6084 | 9.4 | 16000 | 1.4209 |
82
+ | 1.6013 | 9.69 | 16500 | 1.3874 |
83
+ | 1.608 | 9.99 | 17000 | 1.3897 |
84
+
85
+
86
+ ### Framework versions
87
+
88
+ - Transformers 4.36.2
89
+ - Pytorch 2.0.0
90
+ - Datasets 2.16.1
91
+ - Tokenizers 0.15.0
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:822ce6a659ffd5c4d0a55ac3b4294d3fe31a04831f02449cd42d5d16dd43cabd
3
  size 1113205088
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:081e625e68e7880f1f093e76a43ec9d8ad863549f761990410ca496e06d02567
3
  size 1113205088
runs/Jan08_06-57-03_888b241fbbaf/events.out.tfevents.1704697024.888b241fbbaf.42.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:87e5b112224d00ed934300b2b96366688aa8662dbde12aafa89d33488dcaac22
3
+ size 4853
runs/Jan08_07-00-55_888b241fbbaf/events.out.tfevents.1704697256.888b241fbbaf.42.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:24a751d01fa6e009658680c9a2cf49253b98cb222166f9ed8caab23d5332b346
3
+ size 5257
runs/Jan08_07-10-26_888b241fbbaf/events.out.tfevents.1704697828.888b241fbbaf.42.2 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1afa5330fbeebfa09b599bf0fa4e61de2e0902e32f0087b33121997cc0699515
3
+ size 19326
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:bd872e6d25a394d93c447eed3328aac690fb6aa96acd6582d91e1df207c06b0f
3
- size 4283
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a9126838efa99e768200846e0a5c676a5288f35e7204991ef0d7aab0848d6529
3
+ size 4347