update model card README.md

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license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - imdb
metrics:
  - accuracy
  - f1
model-index:
  - name: medium-mlm-tweet-target-imdb
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: imdb
          type: imdb
          config: plain_text
          split: train
          args: plain_text
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.93632
          - name: F1
            type: f1
            value: 0.9671128739051397

medium-mlm-tweet-target-imdb

This model is a fine-tuned version of muhtasham/medium-mlm-tweet on the imdb dataset. It achieves the following results on the evaluation set:

Loss: 0.3691
Accuracy: 0.9363
F1: 0.9671

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: 3e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
num_epochs: 200

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.3135	0.64	500	0.2323	0.9056	0.9505
0.2094	1.28	1000	0.2166	0.9187	0.9576
0.1622	1.92	1500	0.2011	0.9206	0.9587
0.112	2.56	2000	0.3647	0.9032	0.9491
0.093	3.2	2500	0.5445	0.8788	0.9355
0.0692	3.84	3000	0.2071	0.9452	0.9718
0.0545	4.48	3500	0.2308	0.9548	0.9769
0.0482	5.12	4000	0.3297	0.9373	0.9676
0.0464	5.75	4500	0.3698	0.926	0.9616
0.0308	6.39	5000	0.3691	0.9363	0.9671

Framework versions

Transformers 4.25.1
Pytorch 1.12.1
Datasets 2.7.1
Tokenizers 0.13.2