amazon-review-sentiment-analysis-finetuned-mnli

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amazon-review-sentiment-analysis-finetuned-mnli

This model is a fine-tuned version of LiYuan/amazon-review-sentiment-analysis on an unknown dataset. It achieves the following results on the evaluation set:

• eval_loss: 1.4997
• eval_accuracy: 0.4306
• eval_runtime: 271.4515
• eval_samples_per_second: 0.796
• eval_steps_per_second: 0.052
• epoch: 3.0
• step: 162

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: 2e-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: 5

Framework versions

• Transformers 4.35.2
• Pytorch 2.0.1+cpu
• Datasets 2.15.0
• Tokenizers 0.15.0