Upload TFGPT2ForSequenceClassification
Browse files- README.md +56 -0
- config.json +49 -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: GNePT-NepSA
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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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# GNePT-NepSA
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This model is a fine-tuned version of [raygx/GNePT](https://huggingface.co/raygx/GNePT) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 0.5905
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- Validation Loss: 0.6977
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- Epoch: 3
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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': 6.99e-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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| 0.9549 | 0.7891 | 0 |
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| 0.7454 | 0.6990 | 1 |
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| 0.6544 | 0.6724 | 2 |
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| 0.5905 | 0.6977 | 3 |
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### Framework versions
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- Transformers 4.28.1
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- TensorFlow 2.11.0
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- Datasets 2.1.0
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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": "raygx/GNePT",
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"activation_function": "gelu_new",
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"architectures": [
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"GPT2ForSequenceClassification"
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],
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"attn_pdrop": 0.1,
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"bos_token_id": null,
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"embd_pdrop": 0.1,
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"eos_token_id": null,
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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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"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_epsilon": 1e-05,
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"model_type": "gpt2",
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"n_ctx": 1024,
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"n_embd": 768,
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"n_head": 12,
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"n_inner": null,
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"n_layer": 12,
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"n_positions": 1024,
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"pad_token_id": 3,
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"reorder_and_upcast_attn": false,
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"resid_pdrop": 0.1,
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"scale_attn_by_inverse_layer_idx": false,
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"scale_attn_weights": true,
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"summary_activation": null,
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"summary_first_dropout": 0.1,
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"summary_proj_to_labels": true,
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"summary_type": "cls_index",
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"summary_use_proj": true,
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"task_specific_params": {
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"text-generation": {
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"do_sample": true,
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"max_length": 50
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}
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},
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"transformers_version": "4.28.1",
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"use_cache": true,
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"vocab_size": 50000
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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 sha256:6c8e4595ef305a9765546d2c7e5bff639cafcdf7aa020f5d5a77d3497d966f03
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size 497166832
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