convert model to bartpho-syllable-base
Browse files- .DS_Store +3 -0
- .gitattributes +4 -0
- README.md +11 -13
- added_tokens.json +0 -3
- all_results.json +14 -0
- bpe.codes +0 -0
- config.json +3 -3
- dict.txt +0 -0
- eval_results.json +9 -0
- pytorch_model.bin +3 -0
- sentencepiece.bpe.model +3 -0
- special_tokens_map.json +7 -1
- tokenizer_config.json +21 -0
- train_results.json +6 -6
- trainer_state.json +22 -1816
- training_args.bin +1 -1
- vocab.txt +0 -0
.DS_Store
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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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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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license: apache-2.0
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pipeline_tag: text2text-generation
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---
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<!-- 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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@@ -39,11 +37,11 @@ The following hyperparameters were used during training:
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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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### Training results
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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 2.1
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- Tokenizers 0.13.2
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tags:
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- generated_from_trainer
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model-index:
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- name: pre-bartpho-syllable-base
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results: []
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---
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<!-- 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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+
# pre-bartpho-syllable-base
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This model is a fine-tuned version of [/content/drive/MyDrive/models/pre-bartpho-syllable-base](https://huggingface.co//content/drive/MyDrive/models/pre-bartpho-syllable-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2389
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- Cer: 0.0264
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## Model description
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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: 128
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- total_train_batch_size: 256
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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: 0.03
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- mixed_precision_training: Native AMP
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### Training results
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### Framework versions
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- Transformers 4.26.1
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- Pytorch 1.13.1+cu116
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- Datasets 2.10.1
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- Tokenizers 0.13.2
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all_results.json
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bpe.codes
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config.json
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eval_results.json
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| 42 |
}
|
| 43 |
],
|
| 44 |
+
"max_steps": 42,
|
| 45 |
"num_train_epochs": 1,
|
| 46 |
+
"total_flos": 1320357672517632.0,
|
| 47 |
"trial_name": null,
|
| 48 |
"trial_params": null
|
| 49 |
}
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 3643
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0c3456362dee098a03f8a96e01b2fbb9cfb791f731e469c06b9e539b4c465674
|
| 3 |
size 3643
|
vocab.txt
DELETED
|
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|
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|