Upload 14 files
Browse files- README.md +54 -1
- added_tokens.json +3 -0
- all_results.json +14 -0
- bpe.codes +0 -0
- config.json +37 -0
- eval_results.json +9 -0
- generation_config.json +9 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +9 -0
- tokenizer_config.json +13 -0
- train_results.json +8 -0
- trainer_state.json +1843 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
README.md
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---
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-
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---
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---
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tags:
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- generated_from_trainer
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model-index:
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- name: my-custom-vinai
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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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# my-custom-vinai
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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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It achieves the following results on the evaluation set:
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- Loss: 0.2273
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- Cer: 0.0246
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1e-08
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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: 16
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- total_train_batch_size: 32
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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: 0.5
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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 1.13.0
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- Datasets 2.1.0
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- Tokenizers 0.13.2
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added_tokens.json
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{
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"<mask>": 64000
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}
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all_results.json
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{
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"epoch": 0.5,
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"eval_cer": 0.024639957901579464,
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"eval_loss": 0.22732368111610413,
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"eval_runtime": 547.1507,
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"eval_samples": 2000,
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"eval_samples_per_second": 3.655,
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"eval_steps_per_second": 1.828,
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"train_loss": 0.15334907445219212,
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"train_runtime": 5619.9104,
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"train_samples": 194194,
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"train_samples_per_second": 17.277,
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"train_steps_per_second": 0.54
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}
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bpe.codes
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The diff for this file is too large to render.
See raw diff
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config.json
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{
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"_name_or_path": "/kaggle/input/vietnamese-corrector/kaggle/working/models/my-custom-vinai",
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"activation_dropout": 0.0,
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"activation_function": "gelu",
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"architectures": [
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"MBartForConditionalGeneration"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 0,
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"classifier_dropout": 0.0,
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"d_model": 1024,
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"decoder_attention_heads": 16,
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"decoder_ffn_dim": 4096,
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"decoder_layerdrop": 0.0,
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"decoder_layers": 12,
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"decoder_start_token_id": 2,
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"dropout": 0.1,
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"encoder_attention_heads": 16,
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"encoder_ffn_dim": 4096,
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"encoder_layerdrop": 0.0,
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"encoder_layers": 12,
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"eos_token_id": 2,
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"forced_eos_token_id": 2,
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"gradient_checkpointing": false,
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"init_std": 0.02,
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"is_encoder_decoder": true,
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"max_position_embeddings": 1024,
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"model_type": "mbart",
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"num_hidden_layers": 12,
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"pad_token_id": 1,
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"scale_embedding": false,
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"tokenizer_class": "PhobertTokenizer",
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"torch_dtype": "float32",
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"transformers_version": "4.26.1",
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"use_cache": true,
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"vocab_size": 64001
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}
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eval_results.json
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{
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"epoch": 0.5,
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"eval_cer": 0.024639957901579464,
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"eval_loss": 0.22732368111610413,
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"eval_runtime": 547.1507,
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"eval_samples": 2000,
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"eval_samples_per_second": 3.655,
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"eval_steps_per_second": 1.828
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 0,
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"decoder_start_token_id": 2,
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"eos_token_id": 2,
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"forced_eos_token_id": 2,
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"pad_token_id": 1,
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"transformers_version": "4.26.1"
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:4ab06d90235e41cf323485006a0550cf7b75e246711da2e3d804ad4e32289ea1
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size 1681876701
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special_tokens_map.json
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{
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"bos_token": "<s>",
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"cls_token": "<s>",
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"eos_token": "</s>",
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"mask_token": "<mask>",
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"pad_token": "<pad>",
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"sep_token": "</s>",
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"unk_token": "<unk>"
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}
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tokenizer_config.json
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{
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"bos_token": "<s>",
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"cls_token": "<s>",
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"eos_token": "</s>",
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"mask_token": "<mask>",
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"model_max_length": 1000000000000000019884624838656,
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"name_or_path": "/kaggle/input/vietnamese-corrector/kaggle/working/models/my-custom-vinai",
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"pad_token": "<pad>",
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"sep_token": "</s>",
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"special_tokens_map_file": null,
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"tokenizer_class": "PhobertTokenizer",
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"unk_token": "<unk>"
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}
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train_results.json
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{
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"epoch": 0.5,
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"train_loss": 0.15334907445219212,
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"train_runtime": 5619.9104,
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"train_samples": 194194,
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"train_samples_per_second": 17.277,
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"train_steps_per_second": 0.54
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}
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trainer_state.json
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vocab.txt
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