Upload TFBertForSequenceClassification
Browse files- README.md +57 -0
- config.json +35 -0
- tf_model.h5 +3 -0
README.md
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---
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license: mit
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tags:
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- generated_from_keras_callback
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model-index:
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- name: BERT-NepSA-T2
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results: []
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---
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<!-- This model card has been generated automatically according to the information Keras had access to. You should
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probably proofread and complete it, then remove this comment. -->
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# BERT-NepSA-T2
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This model is a fine-tuned version of [Shushant/nepaliBERT](https://huggingface.co/Shushant/nepaliBERT) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 0.5775
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- Validation Loss: 0.6255
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- Epoch: 4
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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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- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 1e-06, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.001}
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- training_precision: float32
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### Training results
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| Train Loss | Validation Loss | Epoch |
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|:----------:|:---------------:|:-----:|
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| 0.8096 | 0.7200 | 0 |
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| 0.6789 | 0.6691 | 1 |
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| 0.6341 | 0.6525 | 2 |
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| 0.6028 | 0.6266 | 3 |
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| 0.5775 | 0.6255 | 4 |
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### Framework versions
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- Transformers 4.29.2
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- TensorFlow 2.12.0
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- Datasets 2.12.0
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- Tokenizers 0.13.3
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config.json
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{
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"_name_or_path": "Shushant/nepaliBERT",
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"architectures": [
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"BertForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": null,
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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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"id2label": {
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"0": "NEUTRAL",
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"1": "POSITIVE",
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"2": "NEGATIVE"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"NEGATIVE": 2,
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"NEUTRAL": 0,
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"POSITIVE": 1
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},
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "bert",
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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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"position_embedding_type": "absolute",
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"torch_dtype": "float32",
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"transformers_version": "4.29.2",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 30522
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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:dec01be38fb7f7166034dbc4ec529597c582684d168ed3dbecc5936e6c304635
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size 438226204
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