Training in progress epoch 0

README.md

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+---
+license: apache-2.0
+base_model: distilbert/distilbert-base-uncased
+tags:
+- generated_from_keras_callback
+model-index:
+- name: Joshua-Segal/CS4120final
+  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. -->
+
+# Joshua-Segal/CS4120final
+
+This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Train Loss: 1.7115
+- Validation Loss: 1.8817
+- Train Accuracy: 0.0
+- 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', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 5, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
+- training_precision: float32
+
+### Training results
+
+| Train Loss | Validation Loss | Train Accuracy | Epoch |
+|:----------:|:---------------:|:--------------:|:-----:|
+| 1.7115     | 1.8817          | 0.0            | 0     |
+
+
+### Framework versions
+
+- Transformers 4.32.1
+- TensorFlow 2.12.0
+- Datasets 2.12.0
+- Tokenizers 0.13.2

config.json

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+{
+  "_name_or_path": "distilbert/distilbert-base-uncased",
+  "activation": "gelu",
+  "architectures": [
+    "DistilBertForSequenceClassification"
+  ],
+  "attention_dropout": 0.1,
+  "dim": 768,
+  "dropout": 0.1,
+  "hidden_dim": 3072,
+  "id2label": {
+    "0": "Best-Response Mechanisms",
+    "1": "diaNED: Time-Aware Named Entity Disambiguation for Diachronic Corpora",
+    "2": "Personalized Language Model for Query Auto-Completion",
+    "3": "Examining Temporality in Document Classification",
+    "4": "Personalized Review Generation by Expanding Phrases and Attending on Aspect-Aware Representations",
+    "5": "Learning Simplifications for Specific Target Audiences"
+  },
+  "initializer_range": 0.02,
+  "label2id": {
+    "Best-Response Mechanisms": 0,
+    "Examining Temporality in Document Classification": 3,
+    "Learning Simplifications for Specific Target Audiences": 5,
+    "Personalized Language Model for Query Auto-Completion": 2,
+    "Personalized Review Generation by Expanding Phrases and Attending on Aspect-Aware Representations": 4,
+    "diaNED: Time-Aware Named Entity Disambiguation for Diachronic Corpora": 1
+  },
+  "max_position_embeddings": 512,
+  "model_type": "distilbert",
+  "n_heads": 12,
+  "n_layers": 6,
+  "pad_token_id": 0,
+  "qa_dropout": 0.1,
+  "seq_classif_dropout": 0.2,
+  "sinusoidal_pos_embds": false,
+  "tie_weights_": true,
+  "transformers_version": "4.32.1",
+  "vocab_size": 30522
+}

special_tokens_map.json

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+{
+  "cls_token": "[CLS]",
+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
+}

tf_model.h5

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+version https://git-lfs.github.com/spec/v1
+oid sha256:281006f6d81d5b4cc6cd3619bfc50eef39a149c5b87e6c97f08469ca4806fdbf
+size 267964096

tokenizer_config.json

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+{
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_lower_case": true,
+  "mask_token": "[MASK]",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "DistilBertTokenizer",
+  "unk_token": "[UNK]"
+}