model_v1e_5_8_8_4

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

• Loss: 0.5522
• Sacrebleu: 66.9834

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: 1e-05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 64
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Sacrebleu
No log	1.0	218	0.5616	66.0295
No log	2.0	437	0.5691	66.6355
No log	3.0	656	0.5544	66.8901
No log	4.0	875	0.5522	66.9834
No log	5.0	1093	0.5686	67.0746
No log	6.0	1312	0.5995	67.1015
No log	7.0	1531	0.5663	67.1106
No log	8.0	1750	0.5860	67.0824
No log	9.0	1968	0.6075	67.1805
No log	9.97	2180	0.6105	67.1350

Framework versions

• Transformers 4.39.3
• Pytorch 2.1.2
• Datasets 2.18.0
• Tokenizers 0.15.2