bikram22pi7
commited on
Commit
•
df607e7
1
Parent(s):
b833440
Model save
Browse files- .gitattributes +1 -0
- README.md +69 -0
- added_tokens.json +3 -0
- config.json +35 -0
- model.safetensors +3 -0
- runs/Apr15_22-29-31_4d62b5f5d59b/events.out.tfevents.1713220214.4d62b5f5d59b.34.0 +3 -0
- special_tokens_map.json +15 -0
- spm.model +3 -0
- tokenizer.json +3 -0
- tokenizer_config.json +58 -0
- training_args.bin +3 -0
.gitattributes
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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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license: mit
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base_model: microsoft/mdeberta-v3-base
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: mdeberta-v3-base-on-custom-kural-500
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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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# mdeberta-v3-base-on-custom-kural-500
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This model is a fine-tuned version of [microsoft/mdeberta-v3-base](https://huggingface.co/microsoft/mdeberta-v3-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4734
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- Accuracy: 0.7933
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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: 5e-05
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- train_batch_size: 32
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- eval_batch_size: 32
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- seed: 42
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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: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 | 11 | 0.5629 | 0.74 |
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| No log | 2.0 | 22 | 0.5678 | 0.74 |
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| No log | 3.0 | 33 | 0.5530 | 0.74 |
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| No log | 4.0 | 44 | 0.5046 | 0.74 |
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| No log | 5.0 | 55 | 0.5419 | 0.74 |
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| No log | 6.0 | 66 | 0.5136 | 0.74 |
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| No log | 7.0 | 77 | 0.5039 | 0.68 |
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| No log | 8.0 | 88 | 0.4751 | 0.82 |
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| No log | 9.0 | 99 | 0.4976 | 0.7733 |
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| No log | 10.0 | 110 | 0.4734 | 0.7933 |
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### Framework versions
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- Transformers 4.39.3
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- Pytorch 2.1.2
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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added_tokens.json
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{
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"[MASK]": 250101
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}
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config.json
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{
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"_name_or_path": "microsoft/mdeberta-v3-base",
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"architectures": [
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"DebertaV2ForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"layer_norm_eps": 1e-07,
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"max_position_embeddings": 512,
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"max_relative_positions": -1,
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"model_type": "deberta-v2",
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"norm_rel_ebd": "layer_norm",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 0,
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"pooler_dropout": 0,
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"pooler_hidden_act": "gelu",
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"pooler_hidden_size": 768,
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"pos_att_type": [
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"p2c",
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"c2p"
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],
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"position_biased_input": false,
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"position_buckets": 256,
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"relative_attention": true,
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"share_att_key": true,
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"torch_dtype": "float32",
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"transformers_version": "4.39.3",
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"type_vocab_size": 0,
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"vocab_size": 251000
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:1b9755b8c0da303f92fcf87859791ee50355da0bcc49b80b51c5b6363c57302a
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size 1115268200
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runs/Apr15_22-29-31_4d62b5f5d59b/events.out.tfevents.1713220214.4d62b5f5d59b.34.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:ee7f558e32512c24f30725b098a93073b1c2dc98de589e078fa733283ff1a647
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size 13182
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special_tokens_map.json
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{
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"bos_token": "[CLS]",
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"cls_token": "[CLS]",
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"eos_token": "[SEP]",
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"mask_token": "[MASK]",
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"unk_token": {
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"content": "[UNK]",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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}
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}
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spm.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:13c8d666d62a7bc4ac8f040aab68e942c861f93303156cc28f5c7e885d86d6e3
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size 4305025
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tokenizer.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:3aca3ce69a0a35aeb144a52c4f1d41c4246b8785f8f398315cc8fb6b24057810
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size 16331396
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tokenizer_config.json
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{
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"added_tokens_decoder": {
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"0": {
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"content": "[PAD]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"1": {
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"content": "[CLS]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"2": {
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"content": "[SEP]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"3": {
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"content": "[UNK]",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"250101": {
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"content": "[MASK]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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}
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},
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"bos_token": "[CLS]",
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"clean_up_tokenization_spaces": true,
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"cls_token": "[CLS]",
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"do_lower_case": false,
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"eos_token": "[SEP]",
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"mask_token": "[MASK]",
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"sp_model_kwargs": {},
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"split_by_punct": false,
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"tokenizer_class": "DebertaV2Tokenizer",
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"unk_token": "[UNK]",
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"vocab_type": "spm"
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}
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:c16f21b0c8d1bd0753355d21215fa7483a1dda12171416ab9f9bdae7a3c19dda
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size 4984
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