adorkin commited on
Commit
61d908f
1 Parent(s): 6126a9d

End of training

Browse files
Files changed (2) hide show
  1. README.md +71 -0
  2. pytorch_model.bin +1 -1
README.md ADDED
@@ -0,0 +1,71 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ tags:
3
+ - generated_from_trainer
4
+ metrics:
5
+ - accuracy
6
+ model-index:
7
+ - name: xlm-roberta-en-ru-emoji-v2
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
+ # xlm-roberta-en-ru-emoji-v2
15
+
16
+ This model is a fine-tuned version of [DeepPavlov/xlm-roberta-large-en-ru](https://huggingface.co/DeepPavlov/xlm-roberta-large-en-ru) on the None dataset.
17
+ It achieves the following results on the evaluation set:
18
+ - Loss: 2.3356
19
+ - Accuracy: 0.3102
20
+
21
+ ## Model description
22
+
23
+ More information needed
24
+
25
+ ## Intended uses & limitations
26
+
27
+ More information needed
28
+
29
+ ## Training and evaluation data
30
+
31
+ More information needed
32
+
33
+ ## Training procedure
34
+
35
+ ### Training hyperparameters
36
+
37
+ The following hyperparameters were used during training:
38
+ - learning_rate: 2e-05
39
+ - train_batch_size: 96
40
+ - eval_batch_size: 96
41
+ - seed: 42
42
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
43
+ - lr_scheduler_type: linear
44
+ - lr_scheduler_warmup_steps: 500
45
+ - num_epochs: 5
46
+ - mixed_precision_training: Native AMP
47
+
48
+ ### Training results
49
+
50
+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
51
+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
52
+ | No log | 0.4 | 200 | 3.0592 | 0.1204 |
53
+ | No log | 0.81 | 400 | 2.5356 | 0.2480 |
54
+ | 2.6294 | 1.21 | 600 | 2.4570 | 0.2569 |
55
+ | 2.6294 | 1.62 | 800 | 2.3332 | 0.2832 |
56
+ | 1.9286 | 2.02 | 1000 | 2.3354 | 0.2803 |
57
+ | 1.9286 | 2.42 | 1200 | 2.3610 | 0.2881 |
58
+ | 1.9286 | 2.83 | 1400 | 2.3004 | 0.2973 |
59
+ | 1.7312 | 3.23 | 1600 | 2.3619 | 0.3026 |
60
+ | 1.7312 | 3.64 | 1800 | 2.3596 | 0.3032 |
61
+ | 1.5816 | 4.04 | 2000 | 2.2972 | 0.3072 |
62
+ | 1.5816 | 4.44 | 2200 | 2.3077 | 0.3073 |
63
+ | 1.5816 | 4.85 | 2400 | 2.3356 | 0.3102 |
64
+
65
+
66
+ ### Framework versions
67
+
68
+ - Transformers 4.12.3
69
+ - Pytorch 1.9.1
70
+ - Datasets 1.15.1
71
+ - Tokenizers 0.10.3
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:b79114b300edae37cc6e9e7b83670376162e35ff82e58f837508c6cccf61af78
3
  size 1359429997
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:aa0acb2442c3ca81bd71bdde86a51a0c9611323556f9e859184af3ddff8c5d09
3
  size 1359429997