dev_results_model8_new

This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:

• Loss: 6.6467

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: 0.0001
• train_batch_size: 32
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 20
• num_epochs: 50
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
6.4968	11.9617	5000	6.8573
6.0917	23.9234	10000	6.7011
5.8232	35.8852	15000	6.6316
5.6895	47.8469	20000	6.6467

Framework versions

• Transformers 4.40.2
• Pytorch 2.3.0
• Datasets 2.19.1
• Tokenizers 0.19.1