Upload TFDebertaV2ForMultipleChoice

README.md

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+---
+license: mit
+base_model: quastrinos/race-openbook-finetuned-deberta-v3-large-mcqa-TPU-v4
+tags:
+- generated_from_keras_callback
+model-index:
+- name: race-openbook-finetuned-deberta-v3-large-mcqa-TPU-v5
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information Keras had access to. You should
+probably proofread and complete it, then remove this comment. -->
+
+# race-openbook-finetuned-deberta-v3-large-mcqa-TPU-v5
+
+This model is a fine-tuned version of [quastrinos/race-openbook-finetuned-deberta-v3-large-mcqa-TPU-v4](https://huggingface.co/quastrinos/race-openbook-finetuned-deberta-v3-large-mcqa-TPU-v4) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Train Loss: 0.6490
+- Validation Loss: 0.9673
+- Train Map3: 0.7783
+- Train Lr: 5.0733553e-11
+- Epoch: 0
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- optimizer: {'name': 'Adam', 'weight_decay': 0.001, 'clipnorm': 1, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': False, 'is_legacy_optimizer': False, 'learning_rate': {'class_name': 'CosineDecay', 'config': {'initial_learning_rate': 2e-06, 'decay_steps': 312, 'alpha': 5e-09, 'name': None}}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
+- training_precision: mixed_bfloat16
+
+### Training results
+
+| Train Loss | Validation Loss | Train Map3 | Train Lr      | Epoch |
+|:----------:|:---------------:|:----------:|:-------------:|:-----:|
+| 0.6490     | 0.9673          | 0.7783     | 5.0733553e-11 | 0     |
+
+
+### Framework versions
+
+- Transformers 4.35.0.dev0
+- TensorFlow 2.12.0
+- Datasets 2.14.5
+- Tokenizers 0.14.1

config.json

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+{
+  "_name_or_path": "quastrinos/race-openbook-finetuned-deberta-v3-large-mcqa-TPU-v4",
+  "architectures": [
+    "DebertaV2ForMultipleChoice"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 1024,
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "layer_norm_eps": 1e-07,
+  "max_position_embeddings": 512,
+  "max_relative_positions": -1,
+  "model_type": "deberta-v2",
+  "norm_rel_ebd": "layer_norm",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 24,
+  "pad_token_id": 0,
+  "pooler_dropout": 0,
+  "pooler_hidden_act": "gelu",
+  "pooler_hidden_size": 1024,
+  "pos_att_type": [
+    "p2c",
+    "c2p"
+  ],
+  "position_biased_input": false,
+  "position_buckets": 256,
+  "relative_attention": true,
+  "share_att_key": true,
+  "transformers_version": "4.35.0.dev0",
+  "type_vocab_size": 0,
+  "vocab_size": 128100
+}

tf_model.h5

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+size 1740807208