ancebuc
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tweet-eval-sentiment

Text Classification

Generated from Trainer

text-embeddings-inference

Model card Files Files and versions

tweet-eval-sentiment

This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.0651
Accuracy: 0.4759

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	230	1.1097	0.3345
No log	2.0	460	1.0392	0.4609
1.1042	3.0	690	1.0651	0.4759

Framework versions

Transformers 4.39.3
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2

Downloads last month: 4

Safetensors

Model size

0.1B params

Tensor type

F32

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