Edit model card

memobert3_ED1

This model is a fine-tuned version of MiMe-MeMo/MeMo-BERT-03 on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2698
  • F1-score: 0.9344

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: 10

Training results

Training Loss Epoch Step Validation Loss F1-score
No log 1.0 69 0.2789 0.8934
No log 2.0 138 0.3454 0.8839
No log 3.0 207 0.2698 0.9344
No log 4.0 276 0.4248 0.9262
No log 5.0 345 0.5399 0.9097
No log 6.0 414 0.5981 0.8933
No log 7.0 483 0.6430 0.9013
0.1618 8.0 552 0.6388 0.9096
0.1618 9.0 621 0.6361 0.9096
0.1618 10.0 690 0.6451 0.9096

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.4.0+cu121
  • Datasets 2.21.0
  • Tokenizers 0.19.1
Downloads last month
9
Safetensors
Model size
124M params
Tensor type
F32
·
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for yemen2016/memobert3_ED1

Finetuned
(16)
this model