Upload TFDebertaV2ForSequenceClassification
Browse files- README.md +49 -0
- config.json +42 -0
- tf_model.h5 +3 -0
README.md
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---
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license: mit
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base_model: OpenAssistant/reward-model-deberta-v3-large-v2
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tags:
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- generated_from_keras_callback
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model-index:
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- name: deberta-v3
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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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# deberta-v3
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This model is a fine-tuned version of [OpenAssistant/reward-model-deberta-v3-large-v2](https://huggingface.co/OpenAssistant/reward-model-deberta-v3-large-v2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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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: None
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- training_precision: float32
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### Training results
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### Framework versions
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- Transformers 4.34.0
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- TensorFlow 2.14.0
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- Datasets 2.14.5
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- Tokenizers 0.14.1
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config.json
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{
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"_name_or_path": "OpenAssistant/reward-model-deberta-v3-large-v2",
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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": 1024,
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"id2label": {
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"0": "LABEL_0"
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},
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"initializer_range": 0.02,
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"intermediate_size": 4096,
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"label2id": {
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"LABEL_0": 0
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},
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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": 16,
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"num_hidden_layers": 24,
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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": 1024,
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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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"problem_type": "regression",
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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": "4.34.0",
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"type_vocab_size": 0,
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"vocab_size": 128100
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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 sha256:336663b0e76cd793e8bdb3f73f05d1d11a3bc080ab0855fabb7db2d5c8b8e9ee
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size 1740807232
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