End of training
Browse files- README.md +75 -0
- generation_config.json +6 -0
README.md
ADDED
@@ -0,0 +1,75 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
license: apache-2.0
|
3 |
+
base_model: Buseak/spell_corrector_mt5_01012024
|
4 |
+
tags:
|
5 |
+
- generated_from_trainer
|
6 |
+
metrics:
|
7 |
+
- bleu
|
8 |
+
model-index:
|
9 |
+
- name: spell_corrector_mt5_01012024_v2_inbalanced_mistakes
|
10 |
+
results: []
|
11 |
+
---
|
12 |
+
|
13 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
14 |
+
should probably proofread and complete it, then remove this comment. -->
|
15 |
+
|
16 |
+
# spell_corrector_mt5_01012024_v2_inbalanced_mistakes
|
17 |
+
|
18 |
+
This model is a fine-tuned version of [Buseak/spell_corrector_mt5_01012024](https://huggingface.co/Buseak/spell_corrector_mt5_01012024) on the None dataset.
|
19 |
+
It achieves the following results on the evaluation set:
|
20 |
+
- Loss: 0.4841
|
21 |
+
- Bleu: 35.9177
|
22 |
+
- Gen Len: 15.7215
|
23 |
+
|
24 |
+
## Model description
|
25 |
+
|
26 |
+
More information needed
|
27 |
+
|
28 |
+
## Intended uses & limitations
|
29 |
+
|
30 |
+
More information needed
|
31 |
+
|
32 |
+
## Training and evaluation data
|
33 |
+
|
34 |
+
More information needed
|
35 |
+
|
36 |
+
## Training procedure
|
37 |
+
|
38 |
+
### Training hyperparameters
|
39 |
+
|
40 |
+
The following hyperparameters were used during training:
|
41 |
+
- learning_rate: 2e-05
|
42 |
+
- train_batch_size: 8
|
43 |
+
- eval_batch_size: 8
|
44 |
+
- seed: 42
|
45 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
46 |
+
- lr_scheduler_type: linear
|
47 |
+
- num_epochs: 15
|
48 |
+
|
49 |
+
### Training results
|
50 |
+
|
51 |
+
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|
52 |
+
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
|
53 |
+
| 1.1495 | 1.0 | 976 | 0.6422 | 32.0204 | 15.7943 |
|
54 |
+
| 1.0698 | 2.0 | 1952 | 0.6209 | 32.5167 | 15.7969 |
|
55 |
+
| 0.9987 | 3.0 | 2928 | 0.5965 | 33.0715 | 15.7826 |
|
56 |
+
| 0.9755 | 4.0 | 3904 | 0.5770 | 33.4511 | 15.7809 |
|
57 |
+
| 0.949 | 5.0 | 4880 | 0.5583 | 34.2697 | 15.7524 |
|
58 |
+
| 0.9232 | 6.0 | 5856 | 0.5379 | 34.6321 | 15.7416 |
|
59 |
+
| 0.9036 | 7.0 | 6832 | 0.5254 | 34.9265 | 15.7377 |
|
60 |
+
| 0.8923 | 8.0 | 7808 | 0.5141 | 35.161 | 15.7364 |
|
61 |
+
| 0.8771 | 9.0 | 8784 | 0.5077 | 35.3906 | 15.7275 |
|
62 |
+
| 0.8675 | 10.0 | 9760 | 0.5017 | 35.5138 | 15.7251 |
|
63 |
+
| 0.8517 | 11.0 | 10736 | 0.4940 | 35.7429 | 15.7199 |
|
64 |
+
| 0.8623 | 12.0 | 11712 | 0.4915 | 35.7791 | 15.7264 |
|
65 |
+
| 0.8569 | 13.0 | 12688 | 0.4881 | 35.8203 | 15.7232 |
|
66 |
+
| 0.8544 | 14.0 | 13664 | 0.4860 | 35.9037 | 15.7224 |
|
67 |
+
| 0.8657 | 15.0 | 14640 | 0.4841 | 35.9177 | 15.7215 |
|
68 |
+
|
69 |
+
|
70 |
+
### Framework versions
|
71 |
+
|
72 |
+
- Transformers 4.35.2
|
73 |
+
- Pytorch 2.1.0+cu121
|
74 |
+
- Datasets 2.16.1
|
75 |
+
- Tokenizers 0.15.0
|
generation_config.json
ADDED
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"decoder_start_token_id": 0,
|
3 |
+
"eos_token_id": 1,
|
4 |
+
"pad_token_id": 0,
|
5 |
+
"transformers_version": "4.35.2"
|
6 |
+
}
|