fix bug
Browse files- .DS_Store +1 -1
- .gitattributes +0 -2
- README.md +15 -11
- added_tokens.json +3 -0
- all_results.json +11 -11
- bpe.codes +0 -0
- config.json +3 -3
- dict.txt +0 -0
- eval_results.json +6 -6
- generation_config.json +9 -0
- pytorch_model.bin +2 -2
- sentencepiece.bpe.model +0 -3
- special_tokens_map.json +1 -7
- tokenizer_config.json +4 -12
- train_results.json +6 -6
- trainer_state.json +1816 -22
- training_args.bin +0 -3
- vocab.txt +0 -0
.DS_Store
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version https://git-lfs.github.com/spec/v1
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size 6148
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version https://git-lfs.github.com/spec/v1
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oid sha256:cf104ccabf2ea243cfd9618a85c0b4b612614f015ab88dcc3aea1db17563ea8e
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size 6148
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.gitattributes
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pytorch_model.bin filter=lfs diff=lfs merge=lfs -text
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.DS_Store filter=lfs diff=lfs merge=lfs -text
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sentencepiece.bpe.model filter=lfs diff=lfs merge=lfs -text
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training_args.bin filter=lfs diff=lfs merge=lfs -text
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pytorch_model.bin filter=lfs diff=lfs merge=lfs -text
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README.md
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tags:
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- generated_from_trainer
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model-index:
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-
- name:
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results: []
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---
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| 9 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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-
#
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-
This model is a fine-tuned version of [
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It achieves the following results on the evaluation set:
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-
- Loss: 0.
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-
- Cer: 0.
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## Model description
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@@ -33,20 +33,24 @@ More information needed
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### Training hyperparameters
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The following hyperparameters were used during training:
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-
- learning_rate: 1e-
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- train_batch_size: 2
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- eval_batch_size: 2
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- seed: 42
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-
- gradient_accumulation_steps:
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-
- total_train_batch_size:
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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-
- num_epochs:
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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 4.26.1
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-
- Pytorch 1.13.
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-
- Datasets 2.
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- Tokenizers 0.13.2
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tags:
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| 3 |
- generated_from_trainer
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model-index:
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+
- name: my-custom-vinai
|
| 6 |
results: []
|
| 7 |
---
|
| 8 |
|
| 9 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 10 |
should probably proofread and complete it, then remove this comment. -->
|
| 11 |
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+
# my-custom-vinai
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| 13 |
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+
This model is a fine-tuned version of [/kaggle/input/vietnamese-corrector/kaggle/working/models/my-custom-vinai](https://huggingface.co//kaggle/input/vietnamese-corrector/kaggle/working/models/my-custom-vinai) on an unknown dataset.
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| 15 |
It achieves the following results on the evaluation set:
|
| 16 |
+
- Loss: 0.2273
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| 17 |
+
- Cer: 0.0246
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| 18 |
|
| 19 |
## Model description
|
| 20 |
|
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|
|
| 33 |
### Training hyperparameters
|
| 34 |
|
| 35 |
The following hyperparameters were used during training:
|
| 36 |
+
- learning_rate: 1e-08
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| 37 |
- train_batch_size: 2
|
| 38 |
- eval_batch_size: 2
|
| 39 |
- seed: 42
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| 40 |
+
- gradient_accumulation_steps: 16
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| 41 |
+
- total_train_batch_size: 32
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| 42 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 43 |
- lr_scheduler_type: linear
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| 44 |
+
- num_epochs: 0.5
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| 45 |
- mixed_precision_training: Native AMP
|
| 46 |
|
| 47 |
+
### Training results
|
| 48 |
+
|
| 49 |
+
|
| 50 |
+
|
| 51 |
### Framework versions
|
| 52 |
|
| 53 |
- Transformers 4.26.1
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| 54 |
+
- Pytorch 1.13.0
|
| 55 |
+
- Datasets 2.1.0
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| 56 |
- Tokenizers 0.13.2
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added_tokens.json
ADDED
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{
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"<mask>": 64000
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}
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all_results.json
CHANGED
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| 1 |
{
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| 2 |
-
"epoch": 0.
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| 3 |
-
"eval_cer": 0.
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| 4 |
-
"eval_loss": 0.
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| 5 |
-
"eval_runtime":
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| 6 |
"eval_samples": 2000,
|
| 7 |
-
"eval_samples_per_second":
|
| 8 |
-
"eval_steps_per_second": 1.
|
| 9 |
-
"train_loss": 0.
|
| 10 |
-
"train_runtime":
|
| 11 |
-
"train_samples":
|
| 12 |
-
"train_samples_per_second": 17.
|
| 13 |
-
"train_steps_per_second": 0.
|
| 14 |
}
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| 1 |
{
|
| 2 |
+
"epoch": 0.5,
|
| 3 |
+
"eval_cer": 0.024639957901579464,
|
| 4 |
+
"eval_loss": 0.22732368111610413,
|
| 5 |
+
"eval_runtime": 547.1507,
|
| 6 |
"eval_samples": 2000,
|
| 7 |
+
"eval_samples_per_second": 3.655,
|
| 8 |
+
"eval_steps_per_second": 1.828,
|
| 9 |
+
"train_loss": 0.15334907445219212,
|
| 10 |
+
"train_runtime": 5619.9104,
|
| 11 |
+
"train_samples": 194194,
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| 12 |
+
"train_samples_per_second": 17.277,
|
| 13 |
+
"train_steps_per_second": 0.54
|
| 14 |
}
|
bpe.codes
ADDED
|
The diff for this file is too large to render.
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config.json
CHANGED
|
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| 1 |
{
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| 2 |
-
"_name_or_path": "/
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| 3 |
"activation_dropout": 0.0,
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| 4 |
"activation_function": "gelu",
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| 5 |
"architectures": [
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|
@@ -29,9 +29,9 @@
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"num_hidden_layers": 12,
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"pad_token_id": 1,
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| 31 |
"scale_embedding": false,
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| 32 |
-
"tokenizer_class": "
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| 33 |
"torch_dtype": "float32",
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| 34 |
"transformers_version": "4.26.1",
|
| 35 |
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|
| 36 |
-
"vocab_size":
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| 37 |
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{
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| 3 |
"activation_dropout": 0.0,
|
| 4 |
"activation_function": "gelu",
|
| 5 |
"architectures": [
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| 29 |
"num_hidden_layers": 12,
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| 30 |
"pad_token_id": 1,
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| 31 |
"scale_embedding": false,
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| 32 |
+
"tokenizer_class": "PhobertTokenizer",
|
| 33 |
"torch_dtype": "float32",
|
| 34 |
"transformers_version": "4.26.1",
|
| 35 |
"use_cache": true,
|
| 36 |
+
"vocab_size": 64001
|
| 37 |
}
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dict.txt
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eval_results.json
CHANGED
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{
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| 2 |
-
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generation_config.json
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{
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pytorch_model.bin
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sentencepiece.bpe.model
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special_tokens_map.json
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tokenizer_config.json
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train_results.json
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trainer_state.json
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{
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"epoch": 0.03,
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| 42 |
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