greek-nllb-4ep-512

This model is a fine-tuned version of facebook/nllb-200-distilled-600M on the squad_modified_for_t5_qg_2 dataset. It achieves the following results on the evaluation set:

• Loss: 1.2852

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: 2
• eval_batch_size: 2
• seed: 42
• gradient_accumulation_steps: 16
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss
2.2208	0.17	100	1.5566
1.7198	0.34	200	1.4767
1.5435	0.51	300	1.4467
1.5017	0.67	400	1.3955
1.4569	0.84	500	1.3711
1.4496	1.01	600	1.3556
1.3174	1.18	700	1.3488
1.3025	1.35	800	1.3398
1.3013	1.52	900	1.3286
1.2938	1.69	1000	1.3161
1.2984	1.86	1100	1.3057
1.2494	2.03	1200	1.3097
1.1843	2.2	1300	1.2985
1.1868	2.36	1400	1.3021
1.1875	2.53	1500	1.2958
1.1854	2.7	1600	1.2987
1.1818	2.87	1700	1.2885
1.1696	3.04	1800	1.2912
1.1108	3.21	1900	1.2880
1.1301	3.38	2000	1.2889
1.1139	3.55	2100	1.2869
1.1098	3.72	2200	1.2879
1.1073	3.88	2300	1.2852

Framework versions

• Transformers 4.27.0.dev0
• Pytorch 1.13.1+cu116
• Datasets 2.10.1
• Tokenizers 0.13.2