nikoslefkos
commited on
Commit
·
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Parent(s):
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Training in progress epoch 0
Browse files- README.md +6 -8
- config.json +71 -71
- tf_model.h5 +1 -1
README.md
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@@ -15,9 +15,9 @@ probably proofread and complete it, then remove this comment. -->
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This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 0.
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- Validation Loss: 0.
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- Epoch:
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## Model description
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| Train Loss | Validation Loss | Epoch |
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|:----------:|:---------------:|:-----:|
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| 0.
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| 0.0693 | 0.0963 | 1 |
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| 0.0466 | 0.0994 | 2 |
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### Framework versions
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- Transformers 4.
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- TensorFlow 2.12.0
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- Datasets 2.14.
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- Tokenizers 0.13.3
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This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 0.1630
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- Validation Loss: 0.1326
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- Epoch: 0
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## Model description
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| Train Loss | Validation Loss | Epoch |
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|:----------:|:---------------:|:-----:|
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| 0.1630 | 0.1326 | 0 |
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### Framework versions
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- Transformers 4.32.1
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- TensorFlow 2.12.0
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- Datasets 2.14.4
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- Tokenizers 0.13.3
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config.json
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"hidden_dim": 3072,
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"id2label": {
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"0": "O",
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"1": "B-
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"2": "
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"3": "
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"4": "
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"5": "
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"6": "
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"7": "B-
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"8": "I-
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"9": "B-
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"10": "I-
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"11": "B-
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"12": "I-
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"13": "B-
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"14": "I-
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"15": "B-
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"16": "
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"17": "
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"18": "
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"19": "
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"20": "
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"21": "B-
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"22": "I-
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"23": "B-
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"24": "
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"25": "
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"26": "I-
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"27": "
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"28": "
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"29": "
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"30": "
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"31": "
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"32": "I-
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"33": "B-
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"34": "I-
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"35": "
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"36": "I-LANGUAGE"
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},
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"initializer_range": 0.02,
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"label2id": {
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"B-CARDINAL":
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"B-DATE":
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"B-EVENT":
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"B-FAC":
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"B-GPE":
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"B-LANGUAGE":
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"B-LAW":
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"B-LOC":
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"B-MONEY":
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"B-NORP":
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"B-ORDINAL":
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"B-ORG":
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"B-PERCENT":
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"B-PERSON":
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"B-PRODUCT":
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"B-QUANTITY":
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"B-TIME":
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"B-WORK_OF_ART":
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"I-CARDINAL":
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"I-DATE":
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"I-EVENT":
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"I-FAC":
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"I-GPE":
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"I-LANGUAGE": 36,
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"I-LAW":
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"I-LOC":
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"I-MONEY":
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"I-NORP":
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"I-ORDINAL":
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"I-ORG":
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"I-PERCENT":
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"I-PERSON":
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"I-PRODUCT":
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"I-QUANTITY":
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"I-TIME":
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"I-WORK_OF_ART":
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"O": 0
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},
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"max_position_embeddings": 512,
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"seq_classif_dropout": 0.2,
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"sinusoidal_pos_embds": false,
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"tie_weights_": true,
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"transformers_version": "4.
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"vocab_size": 28996
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}
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"hidden_dim": 3072,
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"id2label": {
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"0": "O",
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"1": "B-PERSON",
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"2": "I-PERSON",
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"3": "B-NORP",
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"4": "I-NORP",
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"5": "B-FAC",
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"6": "I-FAC",
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"7": "B-ORG",
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"8": "I-ORG",
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"9": "B-GPE",
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"10": "I-GPE",
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"11": "B-LOC",
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"12": "I-LOC",
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"13": "B-PRODUCT",
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"14": "I-PRODUCT",
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"15": "B-DATE",
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"16": "I-DATE",
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"17": "B-TIME",
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"18": "I-TIME",
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"19": "B-PERCENT",
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"20": "I-PERCENT",
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"21": "B-MONEY",
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"22": "I-MONEY",
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"23": "B-QUANTITY",
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"24": "I-QUANTITY",
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"25": "B-ORDINAL",
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"26": "I-ORDINAL",
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"27": "B-CARDINAL",
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"28": "I-CARDINAL",
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"29": "B-EVENT",
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"30": "I-EVENT",
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"31": "B-WORK_OF_ART",
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"32": "I-WORK_OF_ART",
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"33": "B-LAW",
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"34": "I-LAW",
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"35": "B-LANGUAGE",
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"36": "I-LANGUAGE"
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},
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"initializer_range": 0.02,
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"label2id": {
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"B-CARDINAL": 27,
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"B-DATE": 15,
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"B-EVENT": 29,
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"B-FAC": 5,
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"B-GPE": 9,
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"B-LANGUAGE": 35,
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"B-LAW": 33,
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"B-LOC": 11,
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"B-MONEY": 21,
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"B-NORP": 3,
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"B-ORDINAL": 25,
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"B-ORG": 7,
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"B-PERCENT": 19,
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"B-PERSON": 1,
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"B-PRODUCT": 13,
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"B-QUANTITY": 23,
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"B-TIME": 17,
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"B-WORK_OF_ART": 31,
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"I-CARDINAL": 28,
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"I-DATE": 16,
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"I-EVENT": 30,
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"I-FAC": 6,
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"I-GPE": 10,
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"I-LANGUAGE": 36,
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"I-LAW": 34,
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"I-LOC": 12,
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"I-MONEY": 22,
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"I-NORP": 4,
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"I-ORDINAL": 26,
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"I-ORG": 8,
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"I-PERCENT": 20,
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"I-PERSON": 2,
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"I-PRODUCT": 14,
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"I-QUANTITY": 24,
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"I-TIME": 18,
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"I-WORK_OF_ART": 32,
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"O": 0
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},
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"max_position_embeddings": 512,
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"seq_classif_dropout": 0.2,
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"sinusoidal_pos_embds": false,
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"tie_weights_": true,
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"transformers_version": "4.32.1",
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"vocab_size": 28996
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}
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tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 261004560
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version https://git-lfs.github.com/spec/v1
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oid sha256:9f3c1635b257be56bdcf5fa00f3ae1050fd11e02365766a490ccea0da1c153c4
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size 261004560
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