End of training

README.md

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+---
+license: mit
+base_model: digitalepidemiologylab/covid-twitter-bert-v2
+tags:
+- generated_from_trainer
+metrics:
+- f1
+model-index:
+- name: FakeNewsDetection_Cross-Sean
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# FakeNewsDetection_Cross-Sean
+
+This model is a fine-tuned version of [digitalepidemiologylab/covid-twitter-bert-v2](https://huggingface.co/digitalepidemiologylab/covid-twitter-bert-v2) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0824
+- F1: 0.9882
+
+## 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:
+- learning_rate: 5e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.0786        | 1.0   | 1100 | 0.0654          | 0.9845 |
+| 0.0386        | 2.0   | 2200 | 0.0574          | 0.9852 |
+| 0.0222        | 3.0   | 3300 | 0.0689          | 0.9864 |
+| 0.0098        | 4.0   | 4400 | 0.0924          | 0.9848 |
+| 0.0059        | 5.0   | 5500 | 0.0824          | 0.9882 |
+
+
+### Framework versions
+
+- Transformers 4.37.2
+- Pytorch 2.2.0+cu118
+- Datasets 2.17.0
+- Tokenizers 0.15.1

config.json

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+{
+  "_name_or_path": "digitalepidemiologylab/covid-twitter-bert-v2",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 1024,
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 24,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.37.2",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

model.safetensors

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+oid sha256:e0a926b2249bb2cd13163e4092617addc34affe8e2853fec79a29041ad46f7ec
+size 1340622760

training_args.bin

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