small-mlm-tweet_eval-from-scratch-custom-tokenizer-target-rotten_tomatoes

<!-- 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. -->

small-mlm-tweet_eval-from-scratch-custom-tokenizer-target-rotten_tomatoes

This model is a fine-tuned version of muhtasham/small-mlm-tweet_eval-from-scratch-custom-tokenizer on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.2510
• Accuracy: 0.7308
• F1: 0.7306

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
• training_steps: 5000

Training results

Framework versions

• Transformers 4.26.0.dev0
• Pytorch 1.13.1+cu116
• Datasets 2.8.1.dev0
• Tokenizers 0.13.2