library_name, tags, model-index

library_name	tags	model-index
transformers	generated_from_trainer	name results eng1-large

eng1-large

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

• Loss: 2.6418

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: 16
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 64
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
3.4203	1.0	2955	3.3579
2.9849	2.0	5910	2.9797
2.7942	3.0	8865	2.8564
2.7439	4.0	11820	2.7862
2.7095	5.0	14775	2.7377
2.7316	6.0	17730	2.7029
2.6551	7.0	20685	2.6778
2.6195	8.0	23640	2.6603
2.5955	9.0	26595	2.6479
2.5775	10.0	29550	2.6418

Framework versions

• Transformers 4.53.0
• Pytorch 2.4.1+cu121
• Datasets 2.14.7
• Tokenizers 0.21.0